National Library of Energy BETA

Sample records for model-based decision support

  1. EVALUATING ENVIRONMENTAL DECISION SUPPORT TOOLS.

    SciTech Connect (OSTI)

    SULLIVAN, T.

    2004-10-01

    Effective contaminated land management requires a number of decisions addressing a suite of technical, economic, and social concerns. These concerns include human health risks, ecological risks, economic costs, technical feasibility of proposed remedial actions, and the value society places on clean-up and re-use of formerly contaminated lands. Decision making, in the face of uncertainty and multiple and often conflicting objectives, is a vital and challenging role in environmental management that affects a significant economic activity. Although each environmental remediation problem is unique and requires a site-specific analysis, many of the key decisions are similar in structure. This has led many to attempt to develop standard approaches. As part of the standardization process, attempts have been made to codify specialist expertise into decision support tools. This activity is intended to facilitate reproducible and transparent decision making. The process of codifying procedures has also been found to be a useful activity for establishing and rationalizing management processes. This study will have two primary objectives. The first is to develop taxonomy for Decision Support Tools (DST) to provide a framework for understanding the different tools and what they are designed to address in the context of environmental remediation problems. The taxonomy will have a series of subject areas for the DST. From these subjects, a few key areas will be selected for further study and software in these areas will be identified. The second objective, will be to review the existing DST in the selected areas and develop a screening matrix for each software product.

  2. Decision support for disaster management

    E-Print Network [OSTI]

    Rolland, Erik; Patterson, Raymond A.; Ward, Keith; Dodin, Bajis

    2010-01-01

    of the disaster management organizations. Therefore, thishybrid meta-heuristics. Keywords Disaster management . Meta-heuristics . Project management . Scheduling . Decision

  3. Multiple Criteria Decision Support by Evolutionary Computation

    E-Print Network [OSTI]

    Zitzler, Eckart

    1 Multiple Criteria Decision Support by Evolutionary Computation Marco Laumanns, Eckart Zitzler difficult or impossible. In addition, they can handle multiple criteria simultaneously, being able to gener of these variables form the set of decision alternatives. The criteria to judge each decision relate to the output

  4. Hybrid Data and Decision Fusion Techniques for Model-Based Data Gathering in Wireless Sensor

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Hybrid Data and Decision Fusion Techniques for Model-Based Data Gathering in Wireless Sensor this context, it suffices for the sensor network to update the base station with esti- mates of model,3]. In particular, if the goal is data gathering, the PDE model can be used to offer a more com- pact data

  5. MAD: A Real World Application of Qualitative Model-Based Decision Tree Generation for Diagnosis

    E-Print Network [OSTI]

    Hamburg,.Universität

    equipment. Furthermore, cost of diagnosis system generation, modification and maintenance is reduced. We knowledge and computer-based product data for diagnosis system generation. This way, the cost of diagnosisMAD: A Real World Application of Qualitative Model-Based Decision Tree Generation for Diagnosis

  6. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real-world logistics problems, common

  7. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real­world logistics problems, common

  8. The Role of GIS in Decision Support Systems

    Office of Environmental Management (EM)

    GIS in Decision Support Systems Jeremy Smith Weather Camera Rail Bridge T k Mile Post Traffic Truck Origin Destination Route Alternatives Roadway Time Pavement Incidents Closures...

  9. Strategies and Decision Support Systems for Integrating Variable...

    Open Energy Info (EERE)

    the design of decision support tools, solutions and strategies for integrating more wind energy into their own power systems. The findings help to increase the industry-wide...

  10. Software platform for integrated water quality decision support systems

    E-Print Network [OSTI]

    Software platform for integrated water quality decision support systems P. Cianchi*, S. Marsili Processing) modules with limited computing capacity. Defining agents as a self contained software program

  11. Sandia Energy - Decision Support for Integrated Energy-Water...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    versus out of basin production (i.e., tradeoff in energy reliability versus reduced pollution and water use)? The decision support framework will be designed to link a...

  12. A PROTOTYPE DECISION SUPPORT SYSTEM FOR GMO TRACEABILITY

    E-Print Network [OSTI]

    Novak, Petra Kralj

    A PROTOTYPE DECISION SUPPORT SYSTEM FOR GMO TRACEABILITY Petra Kralj(1), Nada Lavrac(1,2), Kristina. In this paper we present a prototype decision support system for GMO detection and identification. 1 INTRODUCTION A genetically modified organism (GMO) is an organism whose genetic material (Figure 1) has been

  13. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process for information handling, decision-making, and on-the-job learning for drilling personnel in their daily working

  14. Automation and Accountability in Decision Support System Interface Design

    E-Print Network [OSTI]

    Cummings, M. L.

    2006-01-01

    When the human element is introduced into decision support system design, entirely new layers of social and ethical issues emerge but are not always recognized as such. This paper discusses those ethical and social impact ...

  15. Robust decision-support tools for airport surface traffic

    E-Print Network [OSTI]

    Carr, Francis R. (Francis Russell), 1976-

    2004-01-01

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  16. Robust Decision-Support Tools for Airport Surface Traffic

    E-Print Network [OSTI]

    Carr, Francis R.

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  17. Energy Signal Tool for Decision Support in Building Energy Systems...

    Office of Scientific and Technical Information (OSTI)

    Signal Tool for Decision Support in Building Energy Systems Henze, G. P.; Pavlak, G. S.; Florita, A. R.; Dodier, R. H.; Hirsch, A. I. 32 ENERGY CONSERVATION, CONSUMPTION, AND...

  18. Scientia : An end user development environment for decision support systems/

    E-Print Network [OSTI]

    Sims, Clayton Tyler

    2009-01-01

    This thesis describes an end user programming environment that allows non-programmers to create decision support protocols for use on electronic devices. User centered design techniques were followed to identify the ...

  19. A DECISION SUPPORT SYSTEM (DSS) FOR STORMWATER MANAGEMENT SYSTEM SELECTION

    E-Print Network [OSTI]

    A DECISION SUPPORT SYSTEM (DSS) FOR STORMWATER MANAGEMENT SYSTEM SELECTION BY ANGIE SHELLEY MILES B...................................................................................................... 1 1.1 History of Stormwater Regulations............................................................................................................ 7 2.1 Stormwater DSS Development

  20. Tool Support to Model-based Quality Analysis of Software Architecture Qian Zhang, Jian Wu Hong Zhu

    E-Print Network [OSTI]

    Zhu, Hong

    Tool Support to Model-based Quality Analysis of Software Architecture Qian Zhang, Jian Wu Hong Zhu@brookes.ac.uk ABSTRACT This paper presents an automated software tool SQUARE (Software QUality and ARchitecture model- ling Environment). It is designed and implemented to support the analysis of software quality from

  1. Robust model-based detection of the lung field boundaries in portable chest radiographs supported by selective thresholding

    E-Print Network [OSTI]

    Athens, University of

    Robust model-based detection of the lung field boundaries in portable chest radiographs supported of the lung field boundaries in portable chest radiographs supported by selective thresholding D K Iakovidis1-ray misinterpretation rates. This paper presents a novel methodology for the detection of the lung field boundaries

  2. The Role of GIS in Decision Support Systems | Department of Energy

    Office of Environmental Management (EM)

    The Role of GIS in Decision Support Systems The Role of GIS in Decision Support Systems The Role of GIS in Decision Support Systems More Documents & Publications Microsoft Word -...

  3. Periodicals collection management using a decision support system

    SciTech Connect (OSTI)

    Compton, M.L.; Moser, E.C.

    1993-12-31

    Sandia National Laboratories is a multiprogram national laboratory established in 1949. The Library currently uses DOBIS for its automated system, including the Periodicals Control function for periodical check-in. DOBIS performs processing and control functions adequately, but could not meet our reporting needs. Therefore the Library`s Periodicals Decision Team decided that they needed another ``system`` for collection management. A Periodicals Decision Support System was created using information downloaded from DOBIS and uploaded into dBASE IV. The Periodical Decision Support System functions as an information-processing system that has aided us in making collection management decisions for periodicals. It certainly allows us to do interactive ad-hoc analysis; although there are no modeling tools currently incorporated in the system. We hope that these modeling tools will come later. We have been gathering information and developing needed reports to achieve this goal.

  4. OMS as a decision support tool

    SciTech Connect (OSTI)

    Ordaz, L. [Florida Power Corp. (United States); Stinson, J. [Integraph Corp., Huntsville, AL (United States)

    1999-11-01

    Competitive business drivers have changed Florida Power Corporation`s (FPC`s) management of strategic technology deployments. The utility has re-evaluated many aspects of its business, using new methods and new tools. Delivery 2000, which supports FPC`s corporate vision, will be a key component in meeting the de-regulation and re-regulation challenges of the new millennium. FPC evaluated a variety of systems, or combinations of systems, with over 70 desirable interfaces. To minimize the overwhelming tasks of development, maintenance, and synchronization, FPC decided to use integrated off-the-shelf solutions. This approach changes the following: the methodology for studying and implementing new technology and processes, the justification approach and financial model, and the RFP and selection processes. Using integrated off-the-shelf solutions will have a dramatic effect on everyday operations and will shift the end-users` perspectives from customization to corporate conformity and the acceptance of evolving industry standards. This paper focuses on a segment of a larger suite of technology that is compartmentalized into modular deployments with incremental costs, benefits, and risks. It defines an integrated GIS/OMS/CAD with a goal of reduced service interruption, as measured by SAIDI results. It describes the study methods, financial analysis justification process, and the selected Integraph integrated solution.

  5. An object-oriented approach to site characterization decision support

    SciTech Connect (OSTI)

    Johnson, R.

    1995-06-01

    Effective decision support for site characterization is key to determining the nature and extent of contamination and the associated human and environmental risks. Site characterization data, however, present particular problems to technical analysts and decision-makers. Such data are four dimensional, incorporating temporal and spatial components. Their sheer volume can be daunting -- sites with hundreds of monitoring wells and thousands of samples sent for laboratory analyses are not uncommon. Data are derived from a variety of sources including laboratory analyses, non-intrusive geophysical surveys, historical information, bore logs, in-field estimates of key physical parameters such as aquifer transmissivity, soil moisture content, depth-to-water table, etc. Ultimately, decisions have to be made based on data that are always incomplete, often confusing, inaccurate, or inappropriate, and occasionally wrong. In response to this challenge, two approaches to environmental decision support have arisen, Data Quality Objectives (DQOS) and the Observational Approach (OA). DQOs establish criteria for data collection by clearly defining the decisions that need to be made, the uncertainty that can be tolerated, and the type and amount of data that needs to be collected to satisfy the uncertainty requirements. In practice, DQOs are typically based on statistical measures. The OA accepts the fact that the process of characterizing and remediating contaminated sites is always uncertain. Decision-making with the OA is based on what is known about a site, with contingencies developed for potential future deviations from the original assumptions about contamination nature, extent, and risks posed.

  6. Automatic Dependability Analysis for Supporting Design Decisions in UML

    E-Print Network [OSTI]

    Firenze, Università degli Studi di

    Automatic Dependability Analysis for Supporting Design Decisions in UML Andrea Bondavalli1, Istvan and analysis tools for the automatic validation of the system under design. We apply an automatic trans though a thorough system specification im- proves the quality of the design , it is not sufficient

  7. US-75 INTEGRATED CORRIDOR MANAGEMENT: DECISION SUPPORT SYSTEM

    E-Print Network [OSTI]

    US-75 INTEGRATED CORRIDOR MANAGEMENT: DECISION SUPPORT SYSTEM STAGE 3 The Integrated Corridor Management (ICM) Project fun- damentally changes how transportation agencies in the US-75 corridor reliability for commuters, and less pollution in local communities caused by idling vehicles in congested

  8. Water Research Foundation Project 4090 Decision Support System

    E-Print Network [OSTI]

    Keller, Arturo A.

    is to develop an energy management Decision Support System (DSS) to help water utilities make better and more Continents #12;Project Background > Energy is in embodied in every facet of utility operations, management, and planning > Climate change associated with greenhouse gas emissions have a substantial impact

  9. FUTURE POWER GRID INITIATIVE Decision Support for Future

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE Decision Support for Future Power Grid Organizations OBJECTIVE Northwest National Laboratory (509) 371-6607 angela.dalton@pnnl.gov ABOUT FPGI The Future Power Grid a more secure, efficient and reliable future grid. Building on the Electricity Infrastructure Operations

  10. A Decision Support System for Optimum Use of Fertilizers

    SciTech Connect (OSTI)

    Hoskinson, Reed Louis; Hess, John Richard; Fink, Raymond Keith

    1999-07-01

    The Decision Support System for Agriculture (DSS4Ag) is an expert system being developed by the Site-Specific Technologies for Agriculture (SST4Ag) precision farming research project at the INEEL. DSS4Ag uses state-of-the-art artificial intelligence and computer science technologies to make spatially variable, site-specific, economically optimum decisions on fertilizer use. The DSS4Ag has an open architecture that allows for external input and addition of new requirements and integrates its results with existing agricultural systems’ infrastructures. The DSS4Ag reflects a paradigm shift in the information revolution in agriculture that is precision farming. We depict this information revolution in agriculture as an historic trend in the agricultural decision-making process.

  11. Call for Papers Special Issue on Integrated Decision Support Systems

    E-Print Network [OSTI]

    Winckler, Marco Antonio Alba

    ); integration of decisions across both forward supply chains and reverse logistics; integration of decisions

  12. Model-based design of an ultra high performance concrete support structure for a wind turbine

    E-Print Network [OSTI]

    Wang, Zheng, M. Eng. Massachusetts Institute of Technology

    2007-01-01

    A support tower is the main structure which would support rotor, power transmission and control systems, and elevates the rotating blades above the earth boundary layer. A successful design should ensure safe, efficient ...

  13. Providing Automated Semantic Support for Software Agents in Spatial Decision Support Systems 

    E-Print Network [OSTI]

    Li, Sen

    2008-12-05

    Spatial Decision Support System(SDSS) is a software system that aimed at assisting decision-makers generate and evaluate alternative solutions to semi and unstructured spatial problems through the integration of spatial data and geo... method to build the software system. The evaluated outcome highlighted the system with a sound autonomy and flexibility to (i)implement accurate service discovering (ii)generate alternative solutions for the use case and (iii)export the result in an easy...

  14. Demonstration of Decision Support Tools for Sustainable Development

    SciTech Connect (OSTI)

    Shropshire, David Earl; Jacobson, Jacob Jordan; Berrett, Sharon; Cobb, D. A.; Worhach, P.

    2000-11-01

    The Demonstration of Decision Support Tools for Sustainable Development project integrated the Bechtel/Nexant Industrial Materials Exchange Planner and the Idaho National Engineering and Environmental Laboratory System Dynamic models, demonstrating their capabilities on alternative fuel applications in the Greater Yellowstone-Teton Park system. The combined model, called the Dynamic Industrial Material Exchange, was used on selected test cases in the Greater Yellow Teton Parks region to evaluate economic, environmental, and social implications of alternative fuel applications, and identifying primary and secondary industries. The test cases included looking at compressed natural gas applications in Teton National Park and Jackson, Wyoming, and studying ethanol use in Yellowstone National Park and gateway cities in Montana. With further development, the system could be used to assist decision-makers (local government, planners, vehicle purchasers, and fuel suppliers) in selecting alternative fuels, vehicles, and developing AF infrastructures. The system could become a regional AF market assessment tool that could help decision-makers understand the behavior of the AF market and conditions in which the market would grow. Based on this high level market assessment, investors and decision-makers would become more knowledgeable of the AF market opportunity before developing detailed plans and preparing financial analysis.

  15. Decision support for integrated water-energy planning.

    SciTech Connect (OSTI)

    Tidwell, Vincent Carroll; Malczynski, Leonard A.; Kobos, Peter Holmes; Castillo, Cesar; Hart, William Eugene; Klise, Geoffrey T.

    2009-10-01

    Currently, electrical power generation uses about 140 billion gallons of water per day accounting for over 39% of all freshwater withdrawals thus competing with irrigated agriculture as the leading user of water. Coupled to this water use is the required pumping, conveyance, treatment, storage and distribution of the water which requires on average 3% of all electric power generated. While water and energy use are tightly coupled, planning and management of these fundamental resources are rarely treated in an integrated fashion. Toward this need, a decision support framework has been developed that targets the shared needs of energy and water producers, resource managers, regulators, and decision makers at the federal, state and local levels. The framework integrates analysis and optimization capabilities to identify trade-offs, and 'best' alternatives among a broad list of energy/water options and objectives. The decision support framework is formulated in a modular architecture, facilitating tailored analyses over different geographical regions and scales (e.g., national, state, county, watershed, NERC region). An interactive interface allows direct control of the model and access to real-time results displayed as charts, graphs and maps. Ultimately, this open and interactive modeling framework provides a tool for evaluating competing policy and technical options relevant to the energy-water nexus.

  16. North Slope Decision Support for Water Resource Planning and Management

    SciTech Connect (OSTI)

    Schnabel, William; Brumbelow, Kelly

    2013-03-31

    The objective of this project was to enhance the water resource decision-making process with respect to oil and gas exploration/production activities on Alaska’s North Slope. To this end, a web-based software tool was developed to allow stakeholders to assemble, evaluate, and communicate relevant information between and amongst themselves. The software, termed North Slope Decision Support System (NSDSS), is a visually-referenced database that provides a platform for running complex natural system, planning, and optimization models. The NSDSS design was based upon community input garnered during a series of stakeholder workshops, and the end product software is freely available to all stakeholders via the project website. The tool now resides on servers hosted by the UAF Water and Environmental Research Center, and will remain accessible and free-of-charge for all interested stakeholders. The development of the tool fostered new advances in the area of data evaluation and decision support technologies, and the finished product is envisioned to enhance water resource planning activities on Alaska’s North Slope.

  17. The strategic use of an information system in supporting architectural design decisions for a design firm

    E-Print Network [OSTI]

    Liu, Lu, M.S. Massachusetts Institute of Technology

    1985-01-01

    This thesis is to illustrate how a computer-based information system for supporting decision making, that is a Decision Support System (DSS), can be utilized as a strategic tool in architectural design for a firm. The ...

  18. Sandia Energy - Decision Support for Integrated Energy-Water Planning

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumniProjectsCyber EngineeringDTOcean HomeDecision Support

  19. Logic-Based Decision Support for Strategic Environmental Assessment

    E-Print Network [OSTI]

    Gavanelli, Marco; Milano, Michela; Cagnoli, Paolo; 10.1017/S1471068410000335

    2010-01-01

    Strategic Environmental Assessment is a procedure aimed at introducing systematic assessment of the environmental effects of plans and programs. This procedure is based on the so-called coaxial matrices that define dependencies between plan activities (infrastructures, plants, resource extractions, buildings, etc.) and positive and negative environmental impacts, and dependencies between these impacts and environmental receptors. Up to now, this procedure is manually implemented by environmental experts for checking the environmental effects of a given plan or program, but it is never applied during the plan/program construction. A decision support system, based on a clear logic semantics, would be an invaluable tool not only in assessing a single, already defined plan, but also during the planning process in order to produce an optimized, environmentally assessed plan and to study possible alternative scenarios. We propose two logic-based approaches to the problem, one based on Constraint Logic Programming a...

  20. Decision support systems and methods for complex networks

    DOE Patents [OSTI]

    Huang, Zhenyu (Richland, WA); Wong, Pak Chung (Richland, WA); Ma, Jian (Richland, WA); Mackey, Patrick S (Richland, WA); Chen, Yousu (Richland, WA); Schneider, Kevin P (Seattle, WA)

    2012-02-28

    Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

  1. Optimization-based decision support system for retail souring

    E-Print Network [OSTI]

    Patel, Jalpa (Jalpa N.)

    2012-01-01

    Some of the biggest challenges in the retail sourcing lie in predicting demand for a new article and making purchase decisions such as quantity, source, transportation mode and time of the order. Such decisions become more ...

  2. Microsoft Word - Improved Interfaces and Decision Support_FINAL...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the skill sets and performance of today's system operators. * Customer Decision Making - Demand Response (DR) systems will provide information to customers in easily understood...

  3. Representing Uncertainty in Decision Support Harvey J. Greenberg

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    overlapping factors. · Source of uncertainty. Is it a future event, such as product demand? Is it ignorance defines a proven reserve? · Time scale. Is the decision a strategic one, to cover a planning horizon? Is it a major setback, such as the loss of a company? Is it catastrophic, such as the loss of a city? · Decision

  4. B. Vanlauwe et al.Decision support for organic resource management Original article

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ), or by application of vast amounts of manures or other organic resources, e.g., sods of peat in northern Belgium [5B. Vanlauwe et al.Decision support for organic resource management Original article Organic resource management in sub-Saharan Africa: validation of a residue quality-driven decision support system

  5. The Design of an Intelligent Decision Support Tool for Submarine Commanders

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    1 The Design of an Intelligent Decision Support Tool for Submarine Commanders by Geoffrey P, or the U.S. Government. #12;3 The Design of an Intelligent Decision Support Tool for Submarine Commanders search of headlines shows a high number of maritime collisions and accidents. The USS Hartford, a nuclear

  6. "The Implementation Challenge of Pricing Decision Support Systems for Retail Managers" Suzanne N. Valentine

    E-Print Network [OSTI]

    Faloutsos, Christos

    the retail and consumer goods manufacturer markets finally seem ready for Pricing Decision Support SystemsComment on "The Implementation Challenge of Pricing Decision Support Systems for Retail Managers based on discussions with retailers is that the vendor offerings do differ substantially, both in terms

  7. A framework for decision support in systems architecting

    E-Print Network [OSTI]

    Simmons, Willard Lennox

    2008-01-01

    The objective of this thesis is to provide a method and tool to leverage computational resources to empower a systems architect to reason about architectural decisions more comprehensively and effectively compared to ...

  8. Decision support systems for automated terminal area air traffic control

    E-Print Network [OSTI]

    Pararas, John Demetrios

    1982-01-01

    This work studies the automation of the terminal area Air Traffic Management and Control (ATM/C) system. The ATM/C decision-making process is analyzed and broken down into a number of "automation functions". Each of these ...

  9. Decision support models for solid waste management: Review and game-theoretic approaches

    SciTech Connect (OSTI)

    Karmperis, Athanasios C.; Aravossis, Konstantinos; Tatsiopoulos, Ilias P.; Sotirchos, Anastasios

    2013-05-15

    Highlights: ? The mainly used decision support frameworks for solid waste management are reviewed. ? The LCA, CBA and MCDM models are presented and their strengths, weaknesses, similarities and possible combinations are analyzed. ? The game-theoretic approach in a solid waste management context is presented. ? The waste management bargaining game is introduced as a specific decision support framework. ? Cooperative and non-cooperative game-theoretic approaches to decision support for solid waste management are discussed. - Abstract: This paper surveys decision support models that are commonly used in the solid waste management area. Most models are mainly developed within three decision support frameworks, which are the life-cycle assessment, the cost–benefit analysis and the multi-criteria decision-making. These frameworks are reviewed and their strengths and weaknesses as well as their critical issues are analyzed, while their possible combinations and extensions are also discussed. Furthermore, the paper presents how cooperative and non-cooperative game-theoretic approaches can be used for the purpose of modeling and analyzing decision-making in situations with multiple stakeholders. Specifically, since a waste management model is sustainable when considering not only environmental and economic but also social aspects, the waste management bargaining game is introduced as a specific decision support framework in which future models can be developed.

  10. Decision Support for IntegratedDecision Support for Integrated WaterWater--Energy PlanningEnergy Planning

    E-Print Network [OSTI]

    Keller, Arturo A.

    · Thermoelectric cooling · Hydropower · Extraction and refining · Fuel production (ethanol, hydrogen) Estimated -Cost Regulators -Air Quality -Water Quality -Instream Flows -Water Rights -Energy Reliability development: · Identify metrics and variables, · System conceptualization, and · Model review. ­ Decision

  11. Decision Support Systems Marek J. Druzdzel and Roger R. Flynn

    E-Print Network [OSTI]

    Druzdzel, Marek J.

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Summary 12 2 #12;Introduction Making decisions concerning complex systems (e.g., the management units; or the control of nuclear power plants) often strains our cognitive capabilities. Even though used as a synonym for DSS is knowledge-based systems, which refers to their attempt to formalize domain

  12. Using CORE Model-Based Systems Engineering Software to Support Program Management in the U.S. Department of Energy Office of the Biomass Project: Preprint

    SciTech Connect (OSTI)

    Riley, C.; Sandor, D.; Simpkins, P.

    2006-11-01

    This paper describes how a model-based systems engineering software, CORE, is helping the U. S. Department of Energy's Office of Biomass Program assist with bringing biomass-derived biofuels to the market. This software tool provides information to guide informed decision-making as biomass-to-biofuels systems are advanced from concept to commercial adoption. It facilitates management and communication of program status by automatically generating custom reports, Gantt charts, and tables using the widely available programs of Microsoft Word, Project and Excel.

  13. A decision support system for income-producing real estate development feasibility analysis and alternative assessment 

    E-Print Network [OSTI]

    Leelarasamee, Yosaporn

    2005-08-29

    The purpose of this study is to design, develop, and evaluate a prototype scenarioassisted decision support system (DSS) for use in venture and alternative assessment during the predevelopment stage of income-producing real estate development...

  14. City.Net IES: A sustainability-oriented energy decision support system

    E-Print Network [OSTI]

    Adepetu, Adedamola

    A city's energy system processes, as well as the interactions of the energy system with other systems in a city are imperative in creating a comprehensive energy decision support system due to the interdependencies between ...

  15. A DECISION SUPPORT SYSTEM FOR SOIL PRODUCTIVITY AND EROSION POLK COUNTY, NEBRASKA

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    A DECISION SUPPORT SYSTEM FOR SOIL PRODUCTIVITY AND EROSION IN POLK COUNTY, NEBRASKA A.E. Gadem1 erodible lands in Polk County, Nebraska. The approach combines soil productivity indices, derived from

  16. Human-automation collaboration : decision support for lunar and planetary exploration

    E-Print Network [OSTI]

    Márquez, Jessica J., 1976-

    2007-01-01

    Balancing task allocation between humans and computers is crucial to the development of effective decision support systems. This thesis investigates the appropriate balance between humans and automation for geospatial path ...

  17. A decision-support model for managing the fuel inventory of a Panamanian generating company

    E-Print Network [OSTI]

    Perez-Franco, Roberto, 1976-

    2004-01-01

    Bahia Las Minas Corp (BLM) is a fuelpowered generating company in the Panamanian power system. The purpose of this thesis is to design and evaluate a decision-support model for managing the fuel inventory of this company. ...

  18. Decision Support Visualizations for Schedule Management of Multiple Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    Decision Support Visualizations for Schedule Management of Multiple Unmanned Aerial Vehicles Amy S, 02139 Unmanned aerial vehicles (UAVs) are quickly becoming indispensable in military operations aerial vehicles (UAVs) for reconnaissance, surveillance, and attack missions, and there is also

  19. Generating quality software specifications for decision support : a novel approach

    E-Print Network [OSTI]

    Voightmann, Michael P. (Michael Paul), 1979-

    2004-01-01

    An approach utilizing cognitive support tools is presented with the purpose of improving upon the generation of quality software requirement specifications. Based on successful tools in product development and cognitive ...

  20. Decision support for window design : a computer-based prototype

    E-Print Network [OSTI]

    Fang, Jiazhen

    1987-01-01

    Several approaches have emerged for the integration of computer aided design support systems and architectural design processes. However, architects have yet to see such a system that is not only useful for producing ...

  1. Decision Support System for integrated door-to-door delivery

    E-Print Network [OSTI]

    Ducatelle, Frederick

    , responsible for traffic infra- structure, while the demand side is constituted by production and trans on the demand side and support planning on the supply side. The objectives of the supply-oriented system, filtered and aggregated suitably to become information with added value. MOSCA Homepage - www

  2. Improved Microarray-Based Decision Support with Graph Encoded Interactome Data

    E-Print Network [OSTI]

    Engineering ESAT/SCD, Katholieke Universiteit Leuven, Leuven, Belgium Abstract In the past, microarray studies-Based Decision Support with Graph Encoded Interactome Data. PLoS ONE 5(4): e10225. doi:10.1371/journal (FWO-Vlaanderen). OG is supported by the Research Foundation - Flanders (FWO). JS is a professor

  3. Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions technologies: solar, carbon capture, nuclear, biofuels, and electricity from biomass. The challenge a probability distribution over outcomes dependent on R&D funding amounts. This probability distribution

  4. CREDO: a Military Decision-Support System based on Credal Networks

    E-Print Network [OSTI]

    Antonucci, Alessandro

    CREDO: a Military Decision-Support System based on Credal Networks Alessandro Antonucci David Huber (Sect. V). These ideas have been implemented in a Java software tool, called CREDO, as part of a project for space security based on a credal network, which have been developed and tested with CREDO during

  5. A decision-support scheme for mapping endangered areas in pest risk analysis*

    E-Print Network [OSTI]

    Kratochvíl, Lukas

    A decision-support scheme for mapping endangered areas in pest risk analysis* R. H. A. Baker1, J to the EPPO DSS for pest risk analysis (PRA) (http:// capra.eppo.org/deliverables; http Systems Analysis, Crop & Weed Ecology Group, P.O. Box 430, 6700 AK Wageningen (The Netherlands) 13The Bio

  6. The Role of MAS as a Decision Support Tool in a Water-Rights Market

    E-Print Network [OSTI]

    Garrido, Antonio

    The Role of MAS as a Decision Support Tool in a Water-Rights Market Vicente Botti1 , Antonio@iiia.csic.es Abstract. Water is getting a more and more scarce resource, which motivates the idea of designing a framework where water rights may be exchanged more freely, thus leading to a more efficient use of water

  7. Decision-support tool for assessing future nuclear reactor generation portfolios.

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    Decision-support tool for assessing future nuclear reactor generation portfolios. Shashi Jain, where especially capital costs are known to be highly uncertain. Differ- ent nuclear reactor types uncertainties in the cost elements of a nuclear power plant, to provide an optimal portfolio of nuclear reactors

  8. Z .Decision Support Systems 24 1999 297310 A transmission-constrained unit commitment method in power

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Z .Decision Support Systems 24 1999 297­310 A transmission-constrained unit commitment method This paper presents a transmission-constrained unit commitment method using a Lagrangian relaxation approach, a feasibility phase and unit decommitment. A large-scale test problem with more than 2200 buses and 2500

  9. BIG: A ResourceBounded Information Gathering and Decision Support Agent \\Lambday

    E-Print Network [OSTI]

    Zhang, Xiaoqin

    BIG: A Resource­Bounded Information Gathering and Decision Support Agent \\Lambday Victor Lesser an invaluable information resource but the explosion of available information has made web search a time of accessibility, reliability and associated costs present a complex information gathering coordination problem

  10. BIG: A Resource-Bounded Information Gathering and Decision Support Agent y

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    BIG: A Resource-Bounded Information Gathering and Decision Support Agent y Victor Lesser Bryan an invaluable information resource but the explosion of available information has made web search a time of accessibility, reliability and associated costs present a complex information gathering coordination problem

  11. BIG: A Resource-Bounded Information Gathering and Decision Support Agent

    E-Print Network [OSTI]

    Raja, Anita

    BIG: A Resource-Bounded Information Gathering and Decision Support Agent ¡ Victor Lesser Bryan an invaluable information resource but the explosion of available information has made web search a time of accessibility, reliability and associated costs present a complex information gathering coordination problem

  12. Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1

    E-Print Network [OSTI]

    Middleton, Stuart E.

    to a Tsunami warning centre. However, social media streams also bear risks: such data has variable quality Tsunami warning control room engineers of the value social media reports offer to a situation pictureSpatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1 Stuart E

  13. Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1

    E-Print Network [OSTI]

    Middleton, Stuart E.

    a system for tsunami detection and early warning, developed in the project Collaborative, Complex1 Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1 Zielinski, Andrea Fraunhofer Institute of Optronics, System Technologies and Image Exploitation Karlsruhe, Germany

  14. Transporta on Decision Support Systems ORNL has a staff with extensive experience in

    E-Print Network [OSTI]

    Model was developed for the Department of Energy's Office of Civilian Radioactive Waste Management in the development and implementation of automated transportation decision support models for the scheduling includes a number of steps. The first involves pulling movement requirements, transportation assets

  15. Estimating traffic flows and environmental effects of urban commercial supply in global city logistics decision support

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    logistics decision support Jesús González Feliu Laboratoire d'Economie des Transports Frédéric Henriot for the entire urban logistics system. The model shows the relation between several aspects of commercial on representative scenarios are proposed. Introduction City logistics studies the urban part of the logistic chain

  16. Decision Support Modeling and analysis of an auction-based logistics market

    E-Print Network [OSTI]

    Karaesmen, Fikri

    Decision Support Modeling and analysis of an auction-based logistics market Semra Agrali a , Barisß a logistics spot market where the transportation orders from a number of firms are matched with two types that have lower costs. In order to analyze the effects of implementing a logistics spot market

  17. A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations

    E-Print Network [OSTI]

    Aamodt, Agnar

    A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations Odd Erik Gundersen and development cost in addition to two case studies are documented. Introduction DrillEdge is a software system for how to handle the current situation. Verdande Technology has developed DrillEdge to reduce the cost

  18. StarVis: A Configural Decision Support Tool for Schedule Management of Multiple Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    in Aeronautics and Astronautics Abstract As unmanned aerial vehicles (UAVs) become increasingly autonomousStarVis: A Configural Decision Support Tool for Schedule Management of Multiple Unmanned Aerial Aerial Vehicles by Amy S. Brzezinski Submitted to the Department of Aeronautics and Astronautics

  19. The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise

    E-Print Network [OSTI]

    Sommerville, Ian

    1 The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise Ali Khajeh-Hosseini, David Greenwood, James W. Smith, Ian Sommerville Cloud Computing Co-laboratory, School of Computer Science University of St Andrews, UK {akh, dsg22, jws7, ifs}@cs.st-andrews.ac.uk Abstract Cloud computing

  20. Social-media Text Mining and Network Analysis to support Decision Support for Natural Crisis

    E-Print Network [OSTI]

    Middleton, Stuart E.

    -support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper) and integrated it with a tsunami warning system that is able to continuously monitor the situation, and send Management Zielinski, Andrea Fraunhofer Institute of Optronics, System Technologies and Image Exploitation

  1. A decision-support system for sustainable urban metabolism in Europe

    SciTech Connect (OSTI)

    Gonzalez, Ainhoa; Donnelly, Alison; Jones, Mike; Chrysoulakis, Nektarios; Lopes, Myriam

    2013-01-15

    Urban metabolism components define the energy and material exchanges within a city and, therefore, can provide valuable information on the environmental quality of urban areas. Assessing the potential impact of urban planning alternatives on urban metabolism components (such as energy, water, carbon and pollutants fluxes) can provide a quantitative estimation of their sustainability performance. Urban metabolism impact assessment can, therefore, contribute to the identification of sustainable urban structures with regards, for example, to building types, materials and layout, as well as to location and capacity of transportation and infrastructural developments. In this way, it enables the formulation of planning and policy recommendations to promote efficient use of resources and enhance environmental quality in urban areas. The European FP7 project BRIDGE (sustainaBle uRban plannIng Decision support accountinG for urban mEtabolism) has developed a decision-support system (DSS) that systematically integrates urban metabolism components into impact assessment processes with the aim of accurately quantifying the potential effects of proposed planning interventions. The DSS enables integration of multiple spatial and non-spatial datasets (e.g. physical flows of energy and material with variables of social and economic change) in a systematic manner to obtain spatially defined assessment results and to thus inform planners and decision-makers. This multi-criteria approach also enables incorporation of stakeholders' perceptions in order to prioritise decisive assessment criteria. This paper describes the methodological framework used to develop the DSS and critically examines the results of its practical application in five European cities. - Highlights: Black-Right-Pointing-Pointer Urban metabolism in sustainability assessment of planning alternatives. Black-Right-Pointing-Pointer European FP7 project applied to 5 real life case studies across Europe. Black-Right-Pointing-Pointer Decision support system enables incorporating scientific knowledge into planning. Black-Right-Pointing-Pointer Scale, data availability and stakeholder representativeness limit its application.

  2. rillEdge is a software system that provides real-time deci-sion support when drilling oil wells. Decisions are sup-

    E-Print Network [OSTI]

    Aamodt, Agnar

    developed DrillEdge to reduce the cost and decrease the probability of fail- ures in oil well drilling-Time Decision Support System for High Cost Oil Well Drilling Operations Odd Erik Gundersen, Frode Sørmo, AgnarD rillEdge is a software system that provides real-time deci- sion support when drilling oil wells

  3. An overview of emerging technologies in contemporary decision support system development

    SciTech Connect (OSTI)

    Nursal, Ahmad Taufik E-mail: faizal-omar@uum.edu.my; Omar, Mohd Faizal E-mail: faizal-omar@uum.edu.my; Nawi, Mohd Nasrun Mohd

    2014-12-04

    The rapid development of Web technology has opened a new approach to Decision Support System (DSS) development. For instance, Social Media is one of the Web 2.0 digital platforms that allow the creation and exchanges of user-generate content through an interactive interface, high user control and mass participation. The concept and characteristics of Web 2.0 such as remote, platform-independent, context-rich and easy to use, which is fulfill the concept and purpose of DSS. This paper outlines some of the elementary concepts of Web 2.0 and social media technology which can be potentially integrated within DSS to enhance the decision-making process. Our initial investigation indicates that there is limited study attempt to embed Web 2.0 into DSS. Thus, this paper highlights the importance of Web 2.0 technology in order to foster the betterment of DSS development and its usability.

  4. Zielinski et al. Social-Media Mining for Decision Support in Natural Crisis Proceedings of the 10th

    E-Print Network [OSTI]

    Tokarchuk, Laurissa

    is integrated into the decision-support component of a Tsunami early warning system and demonstrates-temporal decision making component (DSS) and integrated it with a tsunami warning system that is able in Natural Crisis Management Zielinski, Andrea Fraunhofer Institute of Optronics, System Technologies

  5. LCA-IWM: A decision support tool for sustainability assessment of waste management systems

    SciTech Connect (OSTI)

    Boer, J. den [Institute of Water Supply and Groundwater Protection, Wastewater Technology, Waste Management, Industrial Material Cycles, Environmental and Spatial Planning (Institute WAR), Technische Universitaet Darmstadt, Petersenstr. 13, 64287 Darmstadt (Germany)], E-mail: j.denboer@iwar.tu-darmstadt.de; Boer, E. den; Jager, J. [Institute of Water Supply and Groundwater Protection, Wastewater Technology, Waste Management, Industrial Material Cycles, Environmental and Spatial Planning (Institute WAR), Technische Universitaet Darmstadt, Petersenstr. 13, 64287 Darmstadt (Germany)

    2007-07-01

    The paper outlines the most significant result of the project 'The use of life cycle assessment tools for the development of integrated waste management strategies for cities and regions with rapid growing economies', which was the development of two decision-support tools: a municipal waste prognostic tool and a waste management system assessment tool. The article focuses on the assessment tool, which supports the adequate decision making in the planning of urban waste management systems by allowing the creation and comparison of different scenarios, considering three basic subsystems: (i) temporary storage; (ii) collection and transport and (iii) treatment, disposal and recycling. The design and analysis options, as well as the assumptions made for each subsystem, are shortly introduced, providing an overview of the applied methodologies and technologies. The sustainability assessment methodology used in the project to support the selection of the most adequate scenario is presented with a brief explanation of the procedures, criteria and indicators applied on the evaluation of each of the three sustainability pillars.

  6. Decision Support for Water Planning: the ZeroNet Water-Energy Initiative.

    SciTech Connect (OSTI)

    Rich, P. M. (Paul M.); Weintraub, Laura H. Z.; Ewers, Mary E.; Riggs, T. L. (Thomas L.); Wilson, C. J. (Cathy J.)

    2005-01-01

    Rapid population growth and severe drought are impacting water availability for all sectors (agriculture, energy, municipal, industry...), particularly in arid regions. New generation decision support tools, incorporating recent advances in informatics and geographic information systems (GIS), are essential for responsible water planning at the basin scale. The ZeroNet water-energy initiative is developing a decision support system (DSS) for the San Juan River Basin, with a focus on drought planning and economic analysis. The ZeroNet DSS provides a computing environment (cyberinfrastructure) with three major components: Watershed Tools, a Quick Scenario Tool, and a Knowledge Base. The Watershed Tools, based in the Watershed Analysis Risk Management Framework (WARMF), provides capabilities (1) to model surface flows, both the natural and controlled, as well as water withdrawals, via an engineering module, and (2) to analyze and visualize results via a stakeholder module. A new ZeroNet module for WARMF enables iterative modeling and production of 'what if' scenario libraries to examine consequences of changes in climate, landuse, and water allocation. The Quick Scenario Tool uses system dynamics modeling for rapid analysis and visualization for a variety of uses, including drought planning, economic analysis, evaluation of management alternatives, and risk assessment. The Knowledge Base serves simultaneously as the 'faithful scribe' to organize and archive data in easily accessible digital libraries, and as the 'universal translator' to share data from diverse sources and for diverse uses. All of the decision tools depend upon GIS capabilities for data/model integration, map-based analysis, and advanced visualization. The ZeroNet DSS offers stakeholders an effective means to address complex water problems.

  7. Integration of Water Resource Models with Fayetteville Shale Decision Support and Information System

    SciTech Connect (OSTI)

    Cothren, Jackson; Thoma, Greg; DiLuzio, Mauro; Limp, Fred

    2013-06-30

    Significant issues can arise with the timing, location, and volume of surface water withdrawals associated with hydraulic fracturing of gas shale reservoirs as impacted watersheds may be sensitive, especially in drought years, during low flow periods, or during periods of the year when activities such as irrigation place additional demands on the surface supply of water. Significant energy production and associated water withdrawals may have a cumulative impact to watersheds over the short-term. Hence, hydraulic fracturing based on water withdrawal could potentially create shifts in the timing and magnitude of low or high flow events or change the magnitude of river flow at daily, monthly, seasonal, or yearly time scales. These changes in flow regimes can result in dramatically altered river systems. Currently little is known about the impact of fracturing on stream flow behavior. Within this context the objective of this study is to assess the impact of the hydraulic fracturing on the water balance of the Fayetteville Shale play area and examine the potential impacts of hydraulic fracturing on river flow regime at subbasin scale. This project addressed that need with four unique but integrated research and development efforts: 1) Evaluate the predictive reliability of the Soil and Water Assessment Tool (SWAT) model based at a variety of scales (Task/Section 3.5). The Soil and Water Assessment Tool (SWAT) model was used to simulate the across-scale water balance and the respective impact of hydraulic fracturing. A second hypothetical scenario was designed to assess the current and future impacts of water withdrawals for hydraulic fracturing on the flow regime and on the environmental flow components (EFCs) of the river. The shifting of these components, which present critical elements to water supply and water quality, could influence the ecological dynamics of river systems. For this purpose, we combined the use of SWAT model and Richter et al.’s (1996) methodology to assess the shifting and alteration of the flow regime within the river and streams of the study area. 2) Evaluate the effect of measurable land use changes related to gas development (well-pad placement, access road completion, etc.) on surface water flow in the region (Task/Section 3.7). Results showed that since the upsurge in shale-gas related activities in the Fayetteville Shale Play (between 2006 and 2010), shale-gas related infrastructure in the region have increase by 78%. This change in land-cover in comparison with other land-cover classes such as forest, urban, pasture, agricultural and water indicates the highest rate of change in any land-cover category for the study period. A Soil and Water Assessment Tool (SWAT) flow model of the Little Red River watershed simulated from 2000 to 2009 showed a 10% increase in storm water runoff. A forecast scenario based on the assumption that 2010 land-cover does not see any significant change over the forecast period (2010 to 2020) also showed a 10% increase in storm water runoff. Further analyses showed that this change in the stream-flow regime for the forecast period is attributable to the increase in land-cover as introduced by the shale-gas infrastructure. 3) Upgrade the Fayetteville Shale Information System to include information on watershed status. (Tasks/Sections 2.1 and 2.2). This development occurred early in the project period, and technological improvements in web-map API’s have made it possible to further improve the map. The current sites (http://lingo.cast.uark.edu) is available but is currently being upgraded to a more modern interface and robust mapping engine using funds outside this project. 4) Incorporate the methodologies developed in Tasks/Sections 3.5 and 3.7 into a Spatial Decision Support System for use by regulatory agencies and producers in the play. The resulting system is available at http://fayshale.cast.uark.edu and is under review the Arkansas Natural Resources Commission.

  8. Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems

    SciTech Connect (OSTI)

    Greg Thoma; John Veil; Fred Limp; Jackson Cothren; Bruce Gorham; Malcolm Williamson; Peter Smith; Bob Sullivan

    2009-05-31

    This report describes work performed during the initial period of the project 'Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems.' The specific region that is within the scope of this study is the Fayetteville Shale Play. This is an unconventional, tight formation, natural gas play that currently has approximately 1.5 million acres under lease, primarily to Southwestern Energy Incorporated and Chesapeake Energy Incorporated. The currently active play encompasses a region from approximately Fort Smith, AR east to Little Rock, AR approximately 50 miles wide (from North to South). The initial estimates for this field put it almost on par with the Barnett Shale play in Texas. It is anticipated that thousands of wells will be drilled during the next several years; this will entail installation of massive support infrastructure of roads and pipelines, as well as drilling fluid disposal pits and infrastructure to handle millions of gallons of fracturing fluids. This project focuses on gas production in Arkansas as the test bed for application of proactive risk management decision support system for natural gas exploration and production. The activities covered in this report include meetings with representative stakeholders, development of initial content and design for an educational web site, and development and preliminary testing of an interactive mapping utility designed to provide users with information that will allow avoidance of sensitive areas during the development of the Fayetteville Shale Play. These tools have been presented to both regulatory and industrial stakeholder groups, and their feedback has been incorporated into the project.

  9. Information technology and decision support tools for stakeholder-driven river basin salinity management

    SciTech Connect (OSTI)

    Quinn, N.W.T; Cozad, D.B.; Lee, G.

    2010-01-01

    Innovative strategies for effective basin-scale salinity management have been developed in the Hunter River Basin of Australia and more recently in the San Joaquin River Basin of California. In both instances web-based stakeholder information dissemination has been a key to achieving a high level of stakeholder involvement and the formulation of effective decision support salinity management tools. A common element to implementation of salinity management strategies in both river basins has been the concept of river assimilative capacity for controlling export salt loading and the potential for trading of the right to discharge salt load to the river - the Hunter River in Australia and the San Joaquin River in California. Both rivers provide basin drainage and the means of exporting salt to the ocean. The paper compares and contrasts the use of monitoring, modeling and information dissemination in the two basins to achieve environmental compliance and sustain irrigated agriculture in an equitable and socially and politically acceptable manner.

  10. Using a Decision Support System to Optimize Production of Agricultural Crop Residue Biofeedstock

    SciTech Connect (OSTI)

    Reed L. Hoskinson; Ronald C. Rope; Raymond K. Fink

    2007-04-01

    For several years the Idaho National Laboratory (INL) has been developing a Decision Support System for Agriculture (DSS4Ag) which determines the economically optimum recipe of various fertilizers to apply at each site in a field to produce a crop, based on the existing soil fertility at each site, as well as historic production information and current prices of fertilizers and the forecast market price of the crop at harvest, for growing a crop such as wheat, potatoes, corn, or cotton. In support of the growing interest in agricultural crop residues as a bioenergy feedstock, we have extended the capability of the DSS4Ag to develop a variable-rate fertilizer recipe for the simultaneous economically optimum production of both grain and straw, and have been conducting field research to test this new DSS4Ag. In this paper we report the results of two years of field research testing and enhancing the DSS4Ag’s ability to economically optimize the fertilization for the simultaneous production of both grain and its straw, where the straw is an agricultural crop residue that can be used as a biofeedstock.

  11. Analysis and decision document in support of acquisition of steam supply for the Hanford 200 Area

    SciTech Connect (OSTI)

    Brown, D.R.; Daellenbach, K.K.; Hendrickson, P.L.; Kavanaugh, D.C.; Reilly, R.W.; Shankle, D.L.; Smith, S.A.; Weakley, S.A.; Williams, T.A. [Pacific Northwest Lab., Richland, WA (United States); Grant, T.F. [Battelle Human Affairs Research Center, Seattle, WA (United States)

    1992-02-01

    The US Department of Energy (DOE) is now evaluating its facility requirements in support of its cleanup mission at Hanford. One of the early findings is that the 200-Area steam plants, constructed in 1943, will not meet future space heating and process needs. Because the 200 Area will serve as the primary area for waste treatment and long-term storage, a reliable steam supply is a critical element of Hanford operations. This Analysis and Decision Document (ADD) is a preliminary review of the steam supply options available to the DOE. The ADD contains a comprehensive evaluation of the two major acquisition options: line-term versus privatization. It addresses the life-cycle costs associated with each alternative, as well as factors such as contracting requirements and the impact of market, safety, security, and regulatory issues. Specifically, this ADD documents current and future steam requirements for the 200 Area, describes alternatives available to DOE for meeting these requirements, and compares the alternatives across a number of decision criteria, including life-cycle cost. DOE has currently limited the ADD evaluation alternatives to replacing central steam plants rather than expanding the study to include alternative heat sources, such as a distributed network of boilers or heat pumps. Thirteen project alternatives were analyzed in the ADD. One of the alternatives was the rehabilitation of the existing 200-East coal-fired facility. The other twelve alternatives are combinations of (1) coal- or gas-fueled plants, (2) steam-only or cogeneration facilities, (3) primary or secondary cogeneration of electricity, and (4) public or private ownership.

  12. A decision support system prototype including human factors based on the TOGA meta-theory approach

    SciTech Connect (OSTI)

    Cappelli, M.; Memmi, F.; Gadomski, A. M.; Sepielli, M.

    2012-07-01

    The human contribution to the risk of operation of complex technological systems is often not negligible and sometimes tends to become significant, as shown by many reports on incidents and accidents occurred in the past inside Nuclear Power Plants (NPPs). An error of a human operator of a NPP can derive by both omission and commission. For instance, complex commission errors can also lead to significant catastrophic technological accidents, as for the case of the Three Mile Island accident. Typically, the problem is analyzed by focusing on the single event chain that has provoked the incident or accident. What is needed is a general framework able to include as many parameters as possible, i.e. both technological and human factors. Such a general model could allow to envisage an omission or commission error before it can happen or, alternatively, suggest preferred actions to do in order to take countermeasures to neutralize the effect of the error before it becomes critical. In this paper, a preliminary Decision Support System (DSS) based on the so-called (-) TOGA meta-theory approach is presented. The application of such a theory to the management of nuclear power plants has been presented in the previous ICAPP 2011. Here, a human factor simulator prototype is proposed in order to include the effect of human errors in the decision path. The DSS has been developed using a TRIGA research reactor as reference plant, and implemented using the LabVIEW programming environment and the Finite State Machine (FSM) model The proposed DSS shows how to apply the Universal Reasoning Paradigm (URP) and the Universal Management Paradigm (UMP) to a real plant context. The DSS receives inputs from instrumentation data and gives as output a suggested decision. It is obtained as the result of an internal elaborating process based on a performance function. The latter, describes the degree of satisfaction and efficiency, which are dependent on the level of responsibility related to each professional role. As an application, we present the simulation of the discussed error, e.g. the unchecked extraction of the control rods during a power variation maneuver and we show how the effect of human errors can affect the performance function, giving rise to different countermeasures which could call different operator figures into play, potentially not envisaged in the standard procedure. (authors)

  13. Multimedia Explanations in IDEA Decision Support Systems Giuseppe Carenini and Johanna Moore

    E-Print Network [OSTI]

    Moore, Johanna D.

    modeled in decision analysis by the multi­attribute utility theory (MAUT) (Clemen 1996). According to MAUT. In the rest of the paper, we refer to this decision methodology as the MAUT­method. Although following the MAUT­method, the decision maker is assured to find optimal solutions with respect to well

  14. Evalutation and network of ec-decision support systems in the field of hydrological dispension models and of aquatic radioecological research Assessment of environmental models anf software

    E-Print Network [OSTI]

    Monte, L; Hofman, Dimitry

    2005-01-01

    Evalutation and network of ec-decision support systems in the field of hydrological dispension models and of aquatic radioecological research

  15. A Proposed Decision Support System/Expert System for Guiding Fresh Students in Selecting a Faculty in Gomal University, Pakistan

    E-Print Network [OSTI]

    Aslam, Muhammad Zaheer; Khan, Abdur Rashid

    2011-01-01

    This paper presents the design and development of a proposed rule based Decision Support System that will help students in selecting the best suitable faculty/major decision while taking admission in Gomal University, Dera Ismail Khan, Pakistan. The basic idea of our approach is to design a model for testing and measuring the student capabilities like intelligence, understanding, comprehension, mathematical concepts plus his/her past academic record plus his/her intelligence level, and applying the module results to a rule-based decision support system to determine the compatibility of those capabilities with the available faculties/majors in Gomal University. The result is shown as a list of suggested faculties/majors with the student capabilities and abilities.

  16. Computeer-based decision support tools for evaluation of actions affecting flow and water quality in the San Joaquin Basin

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    1993-01-01

    This document is a preliminary effort to draw together some of the important simulation models that are available to Reclamation or that have been developed by Reclamation since 1987. This document has also attempted to lay out a framework by which these models might be used both for the purposes for which they were originally intended and to support the analysis of other issues that relate to the hydrology and to salt and water quality management within the San Joaquin Valley. To be successful as components of a larger Decision Support System the models should to be linked together using custom designed interfaces that permit data sharing between models and that are easy to use. Several initiatives are currently underway within Reclamation to develop GIS - based and graphics - based decision support systems to improve the general level of understanding of the models currently in use, to standardize the methodology used in making planning and operations studies and to permit improved data analysis, interpretation and display. The decision support systems should allow greater participation in the planning process, allow the analysis of innovative actions that are currently difficult to study with present models and should lead to better integrated and more comprehensive plans and policy decisions in future years.

  17. Invited Contribution to Q 76: The Use of Risk Analysis to Support Dam Safety Decisions and Management

    E-Print Network [OSTI]

    Bowles, David S.

    ICOLD 20th Congress Invited Contribution to Q 76: The Use of Risk Analysis to Support Dam Safety Decisions and Management DRAFT FOR REVIEW ONLY Portfolio Risk Assessment: A Tool for Managing Dam Safety in the Context of the Owner's Business David S. Bowles Professor and Director, Institute for Dam Safety Risk

  18. Flood management in a complex river basin with a real-time decision support system based on hydrological forecasts

    E-Print Network [OSTI]

    Lenstra, Arjen K.

    ENAC/ Flood management in a complex river basin with a real-time decision support system based System MINDS proposes the optimal hydropower plants management for flood peak reduction PREDICTING FLOODS for population safety and! Computational program: Routing System MINERVE Run-off model Infiltration model

  19. Bottom-up, decision support system development : a wetlandsalinity management application in California's San Joaquin Valley

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.

    2006-05-10

    Seasonally managed wetlands in the Grasslands Basin ofCalifornia's San Joaquin Valley provide food and shelter for migratorywildfowl during winter months and sport for waterfowl hunters during theannual duck season. Surface water supply to these wetland contain saltwhich, when drained to the San Joaquin River during the annual drawdownperiod, negatively impacts downstream agricultural riparian waterdiverters. Recent environmental regulation, limiting discharges salinityto the San Joaquin River and primarily targeting agricultural non-pointsources, now addresses return flows from seasonally managed wetlands.Real-time water quality management has been advocated as a means ofmatching wetland return flows to the assimilative capacity of the SanJoaquin River. Past attempts to build environmental monitoring anddecision support systems to implement this concept have failed forreasons that are discussed in this paper. These reasons are discussed inthe context of more general challenges facing the successfulimplementation of environmental monitoring, modelling and decisionsupport systems. The paper then provides details of a current researchand development project which will ultimately provide wetland managerswith the means of matching salt exports with the available assimilativecapacity of the San Joaquin River, when fully implemented. Manipulationof the traditional wetland drawdown comes at a potential cost to thesustainability of optimal wetland moist soil plant habitat in thesewetlands - hence the project provides appropriate data and a feedback andresponse mechanism for wetland managers to balance improvements to SanJoaquin River quality with internally-generated information on the healthof the wetland resource. The author concludes the paper by arguing thatthe architecture of the current project decision support system, whencoupled with recent advances in environmental data acquisition, dataprocessing and information dissemination technology, holds significantpromise to address some of the problems described earlier in the paperthat have limited past efforts to improve Basin water qualitymanagement.

  20. Environmental Decision Support for Manufacturing Technology Felipe Roman, Bert Bras1

    E-Print Network [OSTI]

    the Department of Energy's (DoE) Industrial Assessment Centers (IACs), which provide free energy, waste goals and cascade them through all levels of management decision making. One decision-making level-mail: bert.bras@me.gatech.edu #12;2 GRI - Global Reporting Initiative IAC - Industrial Assessment Center ISO

  1. COMPARING DECISION SUPPORT TOOLS FOR CARGO SCREENING PROCESSES Peer-Olaf Siebers(a)

    E-Print Network [OSTI]

    Aickelin, Uwe

    the decision making is Cost-Benefit Analysis (CBA) (Hanley and Spash 1993). While CBA is useful in our case monetary inputs into account. It can use the results of a CBA as monetary input and service quality

  2. The {open_quotes}leak-before-break{close_quotes} applicability in decision support system {open_quotes}strength{close_quotes}

    SciTech Connect (OSTI)

    Torop, V.M.; Orynyak, I.V. [Institute for Problems of Strength, Kiev (Ukraine); Kutovoy, O.L. [Institute of Structure Integrity, Kiev (Ukraine)

    1997-04-01

    A software decision support system, STRENGTH, for application of leak before break analysis, is described. The background methodology and sample application are outlined. The program allows multioptional computation of loading parameters for different types of defects, and variable properties for metals and welded joints. Structural strength is assessed, and service life predictions are made. The program is used to analyze specific defects identified by nondestructive testing.

  3. Demonstration of Decision Support Tools for Sustainable Development - An Application on Alternative Fuels in the Greater Yellowstone-Teton Region

    SciTech Connect (OSTI)

    Shropshire, D.E.; Cobb, D.A.; Worhach, P.; Jacobson, J.J.; Berrett, S.

    2000-12-30

    The Demonstration of Decision Support Tools for Sustainable Development project integrated the Bechtel/Nexant Industrial Materials Exchange Planner and the Idaho National Engineering and Environmental Laboratory System Dynamic models, demonstrating their capabilities on alternative fuel applications in the Greater Yellowstone-Teton Park system. The combined model, called the Dynamic Industrial Material Exchange, was used on selected test cases in the Greater Yellow Teton Parks region to evaluate economic, environmental, and social implications of alternative fuel applications, and identifying primary and secondary industries. The test cases included looking at compressed natural gas applications in Teton National Park and Jackson, Wyoming, and studying ethanol use in Yellowstone National Park and gateway cities in Montana. With further development, the system could be used to assist decision-makers (local government, planners, vehicle purchasers, and fuel suppliers) in selecting alternative fuels, vehicles, and developing AF infrastructures. The system could become a regional AF market assessment tool that could help decision-makers understand the behavior of the AF market and conditions in which the market would grow. Based on this high level market assessment, investors and decision-makers would become more knowledgeable of the AF market opportunity before developing detailed plans and preparing financial analysis.

  4. In Technology Studies, 3(2):263-267, 1996 Decision Support Systems in Genetic Counseling

    E-Print Network [OSTI]

    Druzdzel, Marek J.

    , command and control of military combat units, control of nuclear power plants, management of complex on \\Information, Knowledge and Values in Genetic Decision Making" by Dr. Sue P. Staord) Marek J. Druzdzel is a knowledge of how pieces of information are related and a capacity to apply that knowledge eciently." While

  5. Integrating clinical decision support and smart guidelines: a new approach to evidence based medicine

    E-Print Network [OSTI]

    Peleg, Mor

    and natural way. Out of this research has come a versatile software platform called CREDO which has been shown to specialist and multidisciplinary care. CREDO can help to help with risk assessment and referral decisions CREDO to record data about a patient and call up individualised recommendations. CREDO can also present

  6. Decision Support for Online Auction Sellers with Two-Task Multiple

    E-Print Network [OSTI]

    Ouhyoung, Ming

    ( ) 2009/12/11 1 #12;2 Outline Introduction Related Work Cost-sensitive decision making End-Price) Most products are sold The higher starting price, the higher listing cost and the lower sold-it-now price, shipping cost, duration, start time, end time, pictures, presence of reserve price, payment

  7. What Can Meta-Analyses Tell Us About the Reliability of Life Cycle Assessment for Decision Support?

    Broader source: Energy.gov [DOE]

    The body of life cycle assessment (LCA) literature is vast and has grown over the last decade at a dauntingly rapid rate. Many LCAs have been published on the same or very similar technologies or products, in some cases leading to hundreds of publications. One result is the impression among decision makers that LCAs are inconclusive, owing to perceived and real variability in published estimates of life cycle impacts. Despite the extensive available literature and policy need for more conclusive assessments, only modest attempts have been made to synthesize previous research. A significant challenge to doing so are differences in characteristics of the considered technologies and inconsistencies in methodological choices (e.g., system boundaries, coproduct allocation, and impact assessment methods) among the studies that hamper easy comparisons and related decision support.

  8. Assessment of the effectiveness of the advanced programmatic risk analysis and management model (apram) as a decision support tool for construction projects 

    E-Print Network [OSTI]

    Imbeah, William Kweku Ansah

    2007-09-17

    Construction projects are complicated and fraught with so many risks that many projects are unable to meet pre-defined project objectives. Managers of construction projects require decision support tools that can be used ...

  9. Incorporating Stakeholder Decision Support Needs into an Integrated Regional Earth System Model

    SciTech Connect (OSTI)

    Rice, Jennie S.; Moss, Richard H.; Runci, Paul J.; Anderson, K. L.; Malone, Elizabeth L.

    2012-03-21

    A new modeling effort exploring the opportunities, constraints, and interactions between mitigation and adaptation at regional scale is utilizing stakeholder engagement in an innovative approach to guide model development and demonstration, including uncertainty characterization, to effectively inform regional decision making. This project, the integrated Regional Earth System Model (iRESM), employs structured stakeholder interactions and literature reviews to identify the most relevant adaptation and mitigation alternatives and decision criteria for each regional application of the framework. The information is used to identify important model capabilities and to provide a focus for numerical experiments. This paper presents the stakeholder research results from the first iRESM pilot region. The pilot region includes the Great Lakes Basin in the Midwest portion of the United States as well as other contiguous states. This geographic area (14 states in total) permits cohesive modeling of hydrologic systems while also providing gradients in climate, demography, land cover/land use, and energy supply and demand. The results from the stakeholder research indicate that iRESM should prioritize addressing adaptation alternatives in the water resources, urban infrastructure, and agriculture sectors, such as water conservation, expanded water quality monitoring, altered reservoir releases, lowered water intakes, urban infrastructure upgrades, increased electric power reserves in urban areas, and land use management/crop selection changes. Regarding mitigation alternatives, the stakeholder research shows a need for iRESM to focus on policies affecting the penetration of renewable energy technologies, and the costs and effectiveness of energy efficiency, bioenergy production, wind energy, and carbon capture and sequestration.

  10. National Center for Geographic Information and Analysis Spatial Decision Support Systems

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    ., Densham, P.J., Lolonis, P., Rushton, G. and Tewari, V.K., 1989. A Knowledge-Based Approachfor Supporting of Iowa, Iowa City. Armstrong, M.P., De, S., Densham, P.J., Lolonis, P., Rushton G. and Tewari, V.K., 1990

  11. Quick start user%3CU%2B2019%3Es guide for the PATH/AWARE decision support system.

    SciTech Connect (OSTI)

    Knowlton, Robert G.; Melton, Brad Joseph; Einfeld, Wayne; Tucker, Mark D; Franco, David Oliver; Yang, Lynn I.

    2013-06-01

    The Prioritization Analysis Tool for All-Hazards/Analyzer for Wide Area Restoration Effectiveness (PATH/AWARE) software system, developed by Sandia National Laboratories, is a comprehensive decision support tool designed to analyze situational awareness, as well as response and recovery actions, following a wide-area release of chemical, biological or radiological materials. The system provides capability to prioritize critical infrastructure assets and services for restoration. It also provides a capability to assess resource needs (e.g., number of sampling teams, laboratory capacity, decontamination units, etc.), timelines for consequence management activities, and costs. PATH/AWARE is a very comprehensive tool set with a considerable amount of database information managed through a Microsoft SQL (Structured Query Language) database engine, a Geographical Information System (GIS) engine that provides comprehensive mapping capabilities, as well as comprehensive decision logic to carry out the functional aspects of the tool set. This document covers the basic installation and operation of the PATH/AWARE tool in order to give the user enough information to start using the tool. A companion users manual is under development with greater specificity of the PATH/AWARE functionality.

  12. iRESM INITIATIVE UNDERSTANDING DECISION SUPPORT NEEDS FOR CLIMATE CHANGE MITIGATION AND ADAPTATION --US Midwest Region—

    SciTech Connect (OSTI)

    Rice, Jennie S.; Runci, Paul J.; Moss, Richard H.; Anderson, Kate L.

    2010-10-01

    The impacts of climate change are already affecting human and environmental systems worldwide, yet many uncertainties persist in the prediction of future climate changes and impacts due to limitations in scientific understanding of relevant causal factors. In particular, there is mounting urgency to efforts to improve models of human and environmental systems at the regional scale, and to integrate climate, ecosystem and energy-economic models to support policy, investment, and risk management decisions related to climate change mitigation (i.e., reducing greenhouse gas emissions) and adaptation (i.e., responding to climate change impacts). The Pacific Northwest National Laboratory (PNNL) is developing a modeling framework, the integrated Regional Earth System Model (iRESM), to address regional human-environmental system interactions in response to climate change and the uncertainties therein. The framework will consist of a suite of integrated models representing regional climate change, regional climate policy, and the regional economy, with a focus on simulating the mitigation and adaptation decisions made over time in the energy, transportation, agriculture, and natural resource management sectors.

  13. Controlling RPV embrittlement through wet annealing in support of life attainment and life extension decisions

    SciTech Connect (OSTI)

    Krasikov, E. A.

    2012-07-01

    As a main barrier against radioactivity outlet reactor pressure vessel (RPV) is a key component in terms of Nuclear Power Plant (NPP) safety. Therefore present-day demands in RPV reliability enhance have to be met by all possible actions for RPV in-service embrittlement mitigation. Annealing treatment is known to be the effective measure to restore the RPV metal properties deteriorated by neutron irradiation. Low temperature 'wet' annealing at a maximum coolant temperature which can be obtained using the reactor core or primary circuit pumps, although it cannot be expected to produce complete recovery, is more attractive from the practical point of view especially in cases when the removal of the internals is impossible. As a rule there is no recovery effect up to annealing and irradiation temperature difference of 70 deg. C. It is known, however, that along with radiation embrittlement neutron irradiation may mitigate the radiation damage in metals. Therefore we have tried to test the possibility to use the effect of radiation-induced ductilization in 'wet' annealing technology by means of nuclear heat utilization as heat and neutron irradiation sources at once. In support of the above-mentioned conception the 3-year duration reactor experiment on 15Cr3NiMoV type steel with preliminary irradiation at operating Pressurized Water Reactor (PWR) at 270 deg. C and following extra irradiation (87 h at 330 deg. C) at IR-8 test reactor was fulfilled. In fact, embrittlement was partly suppressed up to value equivalent to 1,5 fold neutron fluence decrease. The degree of recovery in case of radiation enhanced annealing is equal to 27% whereas furnace annealing results in zero effect under existing conditions. Mechanism of the radiation-induced damage mitigation is proposed. It is hoped that 'wet' annealing technology will help provide a better management of the RPV degradation as a factor affecting the lifetime of nuclear power plants which, together with associated management methods, will help facilitate safe and economic long-term operation of PWRs. (authors)

  14. A GIS based Decision Support Tool for the Management of Industrial Risk S.A Karkanis and G.S.Bonanos

    E-Print Network [OSTI]

    Athens, University of

    A GIS based Decision Support Tool for the Management of Industrial Risk S.A Karkanis and G that are based on geographical considerations of the extent of risk. A tool has been developed on a GIS. The tool uses the capabilities of a GIS platform to combine each map with the corresponding information

  15. Integrated Simulation Development and Decision Support Tool-Set for Utility Market and Distributed Solar Power Generation Electricore, Inc.

    SciTech Connect (OSTI)

    Daye, Tony

    2013-09-30

    This project will enable utilities to develop long-term strategic plans that integrate high levels of renewable energy generation, and to better plan power system operations under high renewable penetration. The program developed forecast data streams for decision support and effective integration of centralized and distributed solar power generation in utility operations. This toolset focused on real time simulation of distributed power generation within utility grids with the emphasis on potential applications in day ahead (market) and real time (reliability) utility operations. The project team developed and demonstrated methodologies for quantifying the impact of distributed solar generation on core utility operations, identified protocols for internal data communication requirements, and worked with utility personnel to adapt the new distributed generation (DG) forecasts seamlessly within existing Load and Generation procedures through a sophisticated DMS. This project supported the objectives of the SunShot Initiative and SUNRISE by enabling core utility operations to enhance their simulation capability to analyze and prepare for the impacts of high penetrations of solar on the power grid. The impact of high penetration solar PV on utility operations is not only limited to control centers, but across many core operations. Benefits of an enhanced DMS using state-of-the-art solar forecast data were demonstrated within this project and have had an immediate direct operational cost savings for Energy Marketing for Day Ahead generation commitments, Real Time Operations, Load Forecasting (at an aggregate system level for Day Ahead), Demand Response, Long term Planning (asset management), Distribution Operations, and core ancillary services as required for balancing and reliability. This provided power system operators with the necessary tools and processes to operate the grid in a reliable manner under high renewable penetration.

  16. 1. " The impact of personal and organizational factors on the use of decision support systems by the Jordanian corporations in

    E-Print Network [OSTI]

    of marketing managers in Jordan corporations enrolled in Amman Stock Exchange. A random sample has been in marketing decision - taking at the Jordan corporations with high level. 2- There were no significant the usage level of DSS when taking the marketing decisions. The study recommended the necessity

  17. Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations

    SciTech Connect (OSTI)

    Jones, Lawrence E.

    2011-11-01

    This report provides findings from the field regarding the best ways in which to guide operational strategies, business processes and control room tools to support the integration of renewable energy into electrical grids.

  18. Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations. Executive Summary

    SciTech Connect (OSTI)

    Jones, Lawrence E.

    2011-11-01

    This is the executive summary for a report that provides findings from the field regarding the best ways in which to guide operational strategies, business processes and control room tools to support the integration of renewable energy into electrical grids.

  19. Elements of an environmental decision support system for seasonal wetland salt management in a river basin subjected to water quality regulation

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    2009-06-01

    Seasonally managed wetlands in the Grasslands Basin on the west-side of California's San Joaquin Valley provide food and shelter for migratory wildfowl during winter months and sport for waterfowl hunters during the annual duck season. Surface water supply to these wetlands contain salt which, when drained to the San Joaquin River during the annual drawdown period, can negatively impact water quality and cause concern to downstream agricultural riparian water diverters. Recent environmental regulation, limiting discharges salinity to the San Joaquin River and primarily targeting agricultural non-point sources, now also targets return flows from seasonally managed wetlands. Real-time water quality management has been advocated as a means of continuously matching salt loads discharged from agricultural, wetland and municipal operations to the assimilative capacity of the San Joaquin River. Past attempts to build environmental monitoring and decision support systems (EDSS's) to implement this concept have enjoyed limited success for reasons that are discussed in this paper. These reasons are discussed in the context of more general challenges facing the successful implementation of a comprehensive environmental monitoring, modelling and decision support system for the San Joaquin River Basin.

  20. Model-based tomographic reconstruction

    DOE Patents [OSTI]

    Chambers, David H.; Lehman, Sean K.; Goodman, Dennis M.

    2012-06-26

    A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.

  1. Integrated Modeling and Decision-Support System for Water Management in the Puget Sound Basin: Snow Caps to White Caps

    SciTech Connect (OSTI)

    Copping, Andrea E.; Yang, Zhaoqing; Voisin, Nathalie; Richey, Jeff; Wang, Taiping; Taira, Randal Y.; Constans, Michael; Wigmosta, Mark S.; Van Cleve, Frances B.; Tesfa, Teklu K.

    2013-12-31

    Final Report for the EPA-sponsored project Snow Caps to White Caps that provides data products and insight for water resource managers to support their predictions and management actions to address future changes in water resources (fresh and marine) in the Puget Sound basin. This report details the efforts of a team of scientists and engineers from Pacific Northwest National Laboratory (PNNL) and the University of Washington (UW) to examine the movement of water in the Snohomish Basin, within the watershed and the estuary, under present and future conditions, using a set of linked numerical models.

  2. Decisionmetrices : dynamic structural estimation of shipping investment decisions

    E-Print Network [OSTI]

    Dikos, George

    2004-01-01

    This dissertation develops structural models for analyzing shipping investment decisions, namely ordering, scrapping and lay-up decisions in the tanker industry. We develop models, based on a microeconomic specification, ...

  3. Transfer of Physical and Hydraulic Properties Databases to the Hanford Environmental Information System - PNNL Remediation Decision Support Project, Task 1, Activity 6

    SciTech Connect (OSTI)

    Rockhold, Mark L.; Middleton, Lisa A.

    2009-03-31

    This report documents the requirements for transferring physical and hydraulic property data compiled by PNNL into the Hanford Environmental Information System (HEIS). The Remediation Decision Support (RDS) Project is managed by Pacific Northwest National Laboratory (PNNL) to support Hanford Site waste management and remedial action decisions by the U.S. Department of Energy and one of their current site contractors - CH2M-Hill Plateau Remediation Company (CHPRC). The objective of Task 1, Activity 6 of the RDS project is to compile all available physical and hydraulic property data for sediments from the Hanford Site, to port these data into the Hanford Environmental Information System (HEIS), and to make the data web-accessible to anyone on the Hanford Local Area Network via the so-called Virtual Library.1 These physical and hydraulic property data are used to estimate parameters for analytical and numerical flow and transport models that are used for site risk assessments and evaluation of remedial action alternatives. In past years efforts were made by RDS project staff to compile all available physical and hydraulic property data for Hanford sediments and to transfer these data into SoilVision{reg_sign}, a commercial geotechnical software package designed for storing, analyzing, and manipulating soils data. Although SoilVision{reg_sign} has proven to be useful, its access and use restrictions have been recognized as a limitation to the effective use of the physical and hydraulic property databases by the broader group of potential users involved in Hanford waste site issues. In order to make these data more widely available and useable, a decision was made to port them to HEIS and to make them web-accessible via a Virtual Library module. In FY08 the original objectives of this activity on the RDS project were to: (1) ensure traceability and defensibility of all physical and hydraulic property data currently residing in the SoilVision{reg_sign} database maintained by PNNL, (2) transfer the physical and hydraulic property data from the Microsoft Access database files used by SoilVision{reg_sign} into HEIS, which is currently being maintained by CHRPC, (3) develop a Virtual Library module for accessing these data from HEIS, and (4) write a User's Manual for the Virtual Library module. The intent of these activities is to make the available physical and hydraulic property data more readily accessible and useable by technical staff and operable unit managers involved in waste site assessments and remedial action decisions for Hanford. In FY08 communications were established between PNNL and staff from Fluor-Hanford Co. (who formerly managed HEIS) to outline the design of a Virtual Library module that could be used to access the physical and hydraulic property data that are to be transferred into HEIS. Data dictionaries used by SoilVision{reg_sign} were also provided to Fluor-Hanford personnel (who are now with CHPRC). During ongoing work to ensure traceability and defensibility of all physical and hydraulic property data that currently reside in the SoilVision{reg_sign} database, it was recognized that further work would be required in this effort before the data were actually ported into HEIS. Therefore work on the Virtual Library module development and an accompanying User's Guide was deferred until an unspecified later date. In FY09 efforts have continued to verify the traceability and defensibility of the physical and hydraulic property datasets that are currently being maintained by PNNL. Although this is a work in progress, several of these datasets should be ready for transfer to HEIS in the very near future. This document outlines a plan for the migration of these datasets into HEIS.

  4. Image Analysis Model-Based Methods

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Model-Based Methods Comparing and Evaluating Models Summary Further Reading Data Collection ScientificImage Analysis Model-Based Methods Comparing and Evaluating Models Summary Further Reading Fully Low-Count Image Analysis #12;Image Analysis Model-Based Methods Comparing and Evaluating Models

  5. Total cost model for making sourcing decisions

    E-Print Network [OSTI]

    Morita, Mark, M.B.A. Massachusetts Institute of Technology

    2007-01-01

    This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

  6. Data Mining Session-Based Patient Reported Outcomes (PROs) in a Mental Health Setting: Toward Data-Driven Clinical Decision Support and Personalized Treatment

    E-Print Network [OSTI]

    Casey Bennett; Thomas Doub; April Bragg; Jason Luellen; Christina Van Regenmorter; Jennifer Lockman; Randall Reiserer

    2011-12-07

    The CDOI outcome measure - a patient-reported outcome (PRO) instrument utilizing direct client feedback - was implemented in a large, real-world behavioral healthcare setting in order to evaluate previous findings from smaller controlled studies. PROs provide an alternative window into treatment effectiveness based on client perception and facilitate detection of problems/symptoms for which there is no discernible measure (e.g. pain). The principal focus of the study was to evaluate the utility of the CDOI for predictive modeling of outcomes in a live clinical setting. Implementation factors were also addressed within the framework of the Theory of Planned Behavior by linking adoption rates to implementation practices and clinician perceptions. The results showed that the CDOI does contain significant capacity to predict outcome delta over time based on baseline and early change scores in a large, real-world clinical setting, as suggested in previous research. The implementation analysis revealed a number of critical factors affecting successful implementation and adoption of the CDOI outcome measure, though there was a notable disconnect between clinician intentions and actual behavior. Most importantly, the predictive capacity of the CDOI underscores the utility of direct client feedback measures such as PROs and their potential use as the basis for next generation clinical decision support tools and personalized treatment approaches.

  7. Wetland Flow and Salinity Budgets and Elements of a Decision Support System toward Implementation of Real-Time Seasonal Wetland Salinity Management

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Ortega, R.; Rahilly, P.; Johnson, C.B.

    2011-12-17

    The project has provided science-based tools for the long-term management of salinity in drainage discharges from wetlands to the San Joaquin River. The results of the project are being used to develop best management practices (BMP) and a decision support system to assist wetland managers adjust the timing of salt loads delivered to the San Joaquin River during spring drawdown. Adaptive drainage management scheduling has the potential to improve environmental compliance with salinity objectives in the Lower San Joaquin River by reducing the frequency of violation of Vernalis salinity standards, especially in dry and critically dry years. The paired approach to project implementation whereby adaptively managed and traditional practices were monitored in a side-by-side fashion has provided a quantitative measure of the impacts of the project on the timing of salt loading to the San Joaquin River. The most significant accomplishments of the project has been the technology transfer to wetland biologists, ditch tenders and water managers within the Grasslands Ecological Area. This “learning by doing” has build local community capacity within the Grassland Water District and California Department of Fish and Game providing these institutions with new capability to assess and effectively manage salinity within their wetlands while simultaneously providing benefits to salinity management of the San Joaquin River.

  8. The CORAS Approach for Model-based Risk Management applied to e-Commerce Domain

    E-Print Network [OSTI]

    Stølen, Ketil

    1 The CORAS Approach for Model-based Risk Management applied to e-Commerce Domain Dimitris Raptis framework for model-based risk management of security critical systems by exploiting the synthesis of risk on the integration of RUP and a standardised security risk management process, and it is supported by an XML

  9. Increased Efficiency with Model Based Calibration | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Calibration Increased Efficiency with Model Based Calibration Meeting future TIER 4 emission limits requires the integration of many new technology elements. deer09diewald.pdf...

  10. Status Report on Transfer of Physical and Hydraulic Properties Databases to the Hanford Environmental Information System - PNNL Remediation Decision Support Project, Task 1, Activity 6

    SciTech Connect (OSTI)

    Rockhold, Mark L.; Middleton, Lisa A.; Cantrell, Kirk J.

    2009-06-30

    This document provides a status report on efforts to transfer physical and hydraulic property data from PNNL to CHPRC for incorporation into HEIS. The Remediation Decision Support (RDS) Project is managed by Pacific Northwest National Laboratory (PNNL) to support Hanford Site waste management and remedial action decisions by the U.S. Department of Energy and their contractors. The objective of Task 1, Activity 6 of the RDS project is to compile all available physical and hydraulic property data for sediments from the Hanford Site, to port these data into the Hanford Environmental Information System (HEIS), and to make the data web-accessible to anyone on the Hanford Local Area Network via the so-called Virtual Library. These physical and hydraulic property data are used to estimate parameters for analytical and numerical flow and transport models that are used for site risk assessments and evaluation of remedial action alternatives. In past years efforts were made by RDS project staff to compile all available physical and hydraulic property data for Hanford sediments and to transfer these data into SoilVision{reg_sign}, a commercial geotechnical software package designed for storing, analyzing, and manipulating soils data. Although SoilVision{reg_sign} has proven to be useful, its access and use restrictions have been recognized as a limitation to the effective use of the physical and hydraulic property databases by the broader group of potential users involved in Hanford waste site issues. In order to make these data more widely available and useable, a decision was made to port them to HEIS and to make them web-accessible via a Virtual Library module. In FY08 the original objectives of this activity on the RDS project were to: (1) ensure traceability and defensibility of all physical and hydraulic property data currently residing in the SoilVision{reg_sign} database maintained by PNNL, (2) transfer the physical and hydraulic property data from the Microsoft Access database files used by SoilVision{reg_sign} into HEIS, which is currently being maintained by CH2M-Hill Plateau Remediation Company (CHRPC), (3) develop a Virtual Library module for accessing these data from HEIS, and (4) write a User's Manual for the Virtual Library module. The intent of these activities is to make the available physical and hydraulic property data more readily accessible and useable by technical staff and operable unit managers involved in waste site assessments and remedial action decisions for Hanford. In FY08 communications were established between PNNL and staff from Fluor-Hanford Co. (who formerly managed HEIS) to outline the design of a Virtual Library module that could be used to access the physical and hydraulic property data that are to be transferred into HEIS. Data dictionaries used by SoilVision{reg_sign} were also provided to Fluor-Hanford personnel who are now with CHPRC. During ongoing work to ensure traceability and defensibility of all physical and hydraulic property data that currently reside in the SoilVision{reg_sign} database, it was recognized that further work would be required in this effort before the data were actually ported into HEIS. Therefore work on the Virtual Library module development and an accompanying User's Guide was deferred until an unspecified later date. In FY09 efforts have continued to verify the traceability and defensibility of the physical and hydraulic property datasets that are currently being maintained by PNNL. Although this is a work in progress, several of these datasets are now ready for transfer to CHRPC for inclusion in HEIS. The actual loading of data into HEIS is performed by CHPRC staff, so after the data are transferred from PNNL to CHPRC, it will be the responsibility of CHPRC to ensure that these data are loaded and made accessible. This document provides a status report on efforts to transfer physical and hydraulic property data from PNNL to CHPRC for incorporation into HEIS.

  11. Model-based Risk Assessment What does model-based mean?

    E-Print Network [OSTI]

    Stølen, Ketil

    Model-based Risk Assessment What does model-based mean? Model-based means based on modelling keeping a good overview at the same time. What does Risk Assessment mean? A risk assessment is a process to change the system in order to reduce these indicated risks. Why Risk Assessment? IT-systems get bigger

  12. Kitaev models based on unitary quantum groupoids

    SciTech Connect (OSTI)

    Chang, Liang, E-mail: liangchang@math.tamu.edu [Department of Mathematics, Texas A and M University, College Station, Texas 77843-3368 (United States)] [Department of Mathematics, Texas A and M University, College Station, Texas 77843-3368 (United States)

    2014-04-15

    We establish a generalization of Kitaev models based on unitary quantum groupoids. In particular, when inputting a Kitaev-Kong quantum groupoid H{sub C}, we show that the ground state manifold of the generalized model is canonically isomorphic to that of the Levin-Wen model based on a unitary fusion category C. Therefore, the generalized Kitaev models provide realizations of the target space of the Turaev-Viro topological quantum field theory based on C.

  13. Improving Risk Assessment to Support State Energy Infrastructure...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Improving Risk Assessment to Support State Energy Infrastructure Decision Making Improving Risk Assessment to Support State Energy Infrastructure Decision Making May 22, 2015 -...

  14. Report from Dagstuhl Seminar 13182 Meta-Modeling Model-Based Engineering Tools

    E-Print Network [OSTI]

    Gogolla, Martin - Fachbereich 3

    Report from Dagstuhl Seminar 13182 Meta-Modeling Model-Based Engineering Tools Edited by Tony Clark be supported by effective technologies (i.e., languages, methods, processes, tools). The wide range of development tasks that effective MBE approaches must support leads to two possible tooling scenarios

  15. 9/26/2007 Model Based Testing 1 Model Based Testing

    E-Print Network [OSTI]

    Browne, James C.

    -based testing often cost-effective but requires certain skills within organization #12;9/26/2007 Model Based but transitions guided by probability distribution · State charts: UML diagram, shows states that system can of a state chart www.agilemodeling.com/style/stateChart Diagram.htm #12;9/26/2007 Model Based Testing 10

  16. Demonstrating and Validating a Next Generation Model-Based Controller...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    a Next Generation Model-Based Controller for Fuel Efficient, Low Emissions Diesel Engines Demonstrating and Validating a Next Generation Model-Based Controller for Fuel...

  17. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Given Refinery configuration: Process units Feedstock & Final Product Objective Select crude oils Hydrotreatment Gasoline blending Distillate blending Gas oil blending Cat Crack CDU crude1 crude2 butane Fuel gas1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor

  18. Evaluations in support of regulatory and research decisions by the U. S. Environmental Protection Agency for the control of toxic hazards from hazardous wastes, glyphosate, dalapon, and synthetic fuels

    SciTech Connect (OSTI)

    Scofield, R.

    1984-01-01

    This report includes toxicological and regulatory evaluations performed in support of U.S. EPA regulation of toxic materials and hazardous wastes. The first section of the report describes evaluations which support: (a) the regulation of small-volume generators of hazardous wastes, (b) the regulation of hazardous wastes from pesticide manufacturing, and (c) the disposal of the herbicide, silvex. The second section describes the environmental fate, transport, and effect of glyphosate and dalapon. The third section deals with synthetic fuels, including evaluations of synfuel-product toxicity, uncontrolled air emissions, and particular focus on the toxicity of products from several indirect coal liquefaction processes including methanol synthesis, Fischer-Tropsch, Mobil M-Gasoline, and Lurgi gasification technologies. Three direct coal liquefaction processes were examined for product toxicity and air emissions: Solvent Refined Coal (I and II) and the Exxon Donor Solvent Process. Also described in the third section is an evaluation of environmental and health hazards associated with the use of synthetic fuels from indirect coal liquefaction, direct coal liquefaction, and shale oil. Finally, the fourth section discusses some problems associated with performing, on a contractual basis, scientific and technical evaluations in support of U.S. EPA regulatory and research decisions.

  19. An approach to model validation and model-based prediction -- polyurethane foam case study.

    SciTech Connect (OSTI)

    Dowding, Kevin J.; Rutherford, Brian Milne

    2003-07-01

    Enhanced software methodology and improved computing hardware have advanced the state of simulation technology to a point where large physics-based codes can be a major contributor in many systems analyses. This shift toward the use of computational methods has brought with it new research challenges in a number of areas including characterization of uncertainty, model validation, and the analysis of computer output. It is these challenges that have motivated the work described in this report. Approaches to and methods for model validation and (model-based) prediction have been developed recently in the engineering, mathematics and statistical literatures. In this report we have provided a fairly detailed account of one approach to model validation and prediction applied to an analysis investigating thermal decomposition of polyurethane foam. A model simulates the evolution of the foam in a high temperature environment as it transforms from a solid to a gas phase. The available modeling and experimental results serve as data for a case study focusing our model validation and prediction developmental efforts on this specific thermal application. We discuss several elements of the ''philosophy'' behind the validation and prediction approach: (1) We view the validation process as an activity applying to the use of a specific computational model for a specific application. We do acknowledge, however, that an important part of the overall development of a computational simulation initiative is the feedback provided to model developers and analysts associated with the application. (2) We utilize information obtained for the calibration of model parameters to estimate the parameters and quantify uncertainty in the estimates. We rely, however, on validation data (or data from similar analyses) to measure the variability that contributes to the uncertainty in predictions for specific systems or units (unit-to-unit variability). (3) We perform statistical analyses and hypothesis tests as a part of the validation step to provide feedback to analysts and modelers. Decisions on how to proceed in making model-based predictions are made based on these analyses together with the application requirements. Updating modifying and understanding the boundaries associated with the model are also assisted through this feedback. (4) We include a ''model supplement term'' when model problems are indicated. This term provides a (bias) correction to the model so that it will better match the experimental results and more accurately account for uncertainty. Presumably, as the models continue to develop and are used for future applications, the causes for these apparent biases will be identified and the need for this supplementary modeling will diminish. (5) We use a response-modeling approach for our predictions that allows for general types of prediction and for assessment of prediction uncertainty. This approach is demonstrated through a case study supporting the assessment of a weapons response when subjected to a hydrocarbon fuel fire. The foam decomposition model provides an important element of the response of a weapon system in this abnormal thermal environment. Rigid foam is used to encapsulate critical components in the weapon system providing the needed mechanical support as well as thermal isolation. Because the foam begins to decompose at temperatures above 250 C, modeling the decomposition is critical to assessing a weapons response. In the validation analysis it is indicated that the model tends to ''exaggerate'' the effect of temperature changes when compared to the experimental results. The data, however, are too few and to restricted in terms of experimental design to make confident statements regarding modeling problems. For illustration, we assume these indications are correct and compensate for this apparent bias by constructing a model supplement term for use in the model-based predictions. Several hypothetical prediction problems are created and addressed. Hypothetical problems are used because no guidance was provided concern

  20. Model-Based Validation of an Intrusion-Tolerant Information System Fabrice Stevens

    E-Print Network [OSTI]

    Sanders, William H.

    , we describe a model-based validation effort that was undertaken as part of a unified approach was supported by DARPA contract number F30602-02-C- 0134. as mentioned above, it is practically impossible a se- cure system would have to represent, among other things, the attacker's behavior. Since some

  1. Model based control of a coke battery

    SciTech Connect (OSTI)

    Stone, P.M.; Srour, J.M.; Zulli, P. [BHP Research, Mulgrave (Australia). Melbourne Labs.; Cunningham, R.; Hockings, K. [BHP Steel, Pt Kembla, New South Wales (Australia). Coal and Coke Technical Development Group

    1997-12-31

    This paper describes a model-based strategy for coke battery control at BHP Steel`s operations in Pt Kembla, Australia. The strategy uses several models describing the battery thermal and coking behavior. A prototype controller has been installed on the Pt Kembla No. 6 Battery (PK6CO). In trials, the new controller has been well accepted by operators and has resulted in a clear improvement in battery thermal stability, with a halving of the standard deviation of average battery temperature. Along with other improvements to that battery`s operations, this implementation has contributed to a 10% decrease in specific battery energy consumption. A number of enhancements to the low level control systems on that battery are currently being undertaken in order to realize further benefits.

  2. Energy Band Model Based on Effective Mass

    E-Print Network [OSTI]

    Viktor Ariel

    2012-09-06

    In this work, we demonstrate an alternative method of deriving an isotropic energy band model using a one-dimensional definition of the effective mass and experimentally observed dependence of mass on energy. We extend the effective mass definition to anti-particles and particles with zero rest mass. We assume an often observed linear dependence of mass on energy and derive a generalized non-parabolic energy-momentum relation. The resulting non-parabolicity leads to velocity saturation at high particle energies. We apply the energy band model to free relativistic particles and carriers in solid state materials and obtain commonly used dispersion relations and experimentally confirmed effective masses. We apply the model to zero rest mass particles in graphene and propose using the effective mass for photons. Therefore, it appears that the new energy band model based on the effective mass can be applied to relativistic particles and carriers in solid state materials.

  3. Name, title of the presentation Decision Support

    E-Print Network [OSTI]

    is not straight forward ­ Conflicting goals ­ Insufficient information available (uncertainty) on the security that the security risks have on the system behaviour ­ Insufficient information available (uncertainty) ­ Insufficient information available (uncertainty) related to the actual effect of various alternative security

  4. Integrated decision support model for global sourcing

    E-Print Network [OSTI]

    Mroczkowski, Victor A. (Victor Adam)

    2008-01-01

    Over the last decade, the U.S. aircraft industry has experienced increasing levels of international integration as companies seek to access global talent and resources, cut production costs, spread financial risk, and ...

  5. Decision Support Tool: Integrated REDD+ accounting frameworks...

    Open Energy Info (EERE)

    approaches AgencyCompany Organization: USAID LEAF Focus Area: Other Topics: Analysis Tools Resource Type: Guidemanual User Interface: Website ComplexityEase of Use: Simple...

  6. ORIGINAL CONTRIBUTION Clinical Decision Support and

    E-Print Network [OSTI]

    Campbell, A. Malcolm

    inhabitants and 334 primary care clinicians in 12 rural communities in Utah and Idaho (6 with 1 shared with a community intervention to reduce inappropriate prescribing of antimicrobial drugs for acute res- piratory design. Intervention Six communities received a community intervention alone and 6 com- munities received

  7. Decision support for the general aviation pilot 

    E-Print Network [OSTI]

    Alcorn, W. P.; Lee, K. A.; Ward, D. T.; Trang, J. A.; Krishnamurthy, K.; Crump, J. W.; Branham, P. A.; Woo, D. L. Y.; Ren-Jye Yu; Robbins, A. C.; Painter, John H.; Kelly, W. E. III

    1997-10-12

    . Software development is carried out using a fixed-base engineering flight simulator. Pilot participation in all phases of development and evaluation is the norm. Flight tests have begun on an instrumented research light twin owned by the Texas A...

  8. Reliable Distributed Computing for Decision Support Systems

    E-Print Network [OSTI]

    Bargiela, Andrzej

    of pipes and network nodes spread over a large geographical area, calls for a control of computational system it is serv- icing. Addressing the reliability issues of dis- tributed systems involves tackling

  9. Ecological Site Classification supporting decisions from the

    E-Print Network [OSTI]

    of Geographical Information System (GIS) technology for forest and woodland management. This GIS revolution has

  10. Using Visualization in Cockpit Decision Support Systems

    E-Print Network [OSTI]

    Aragon, Cecilia R.

    2005-01-01

    small clearings surrounded by vegetation where wind speeds are usually high. Helicopters also must land on urban

  11. Model-Based Transient Calibration Optimization for Next Generation...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel Engine...

  12. The Model-based Approach to Computer-aided Medical Decision

    E-Print Network [OSTI]

    Lucas, Peter

    Kinds of causal interaction Synergy: POLUTION - CANCER - SMOKING Prevention: VACCINE - DEATH - SMALLPOX

  13. The Model-based Approach to Computer-aided Medical Decision

    E-Print Network [OSTI]

    Lucas, Peter

    ­ p.10/23 #12;Chain Graph Example Influenza (I) causes coughing (C), where coughing is known as a possible cause for hoarseness (H). In addition, coughing is known to be associated with dyspnoea (shortness

  14. Model-based Enhancement of Lighting Conditions in Image Sequences

    E-Print Network [OSTI]

    Girod, Bernd

    Model-based Enhancement of Lighting Conditions in Image Sequences Peter Eisert and Bernd Girod model-based technique for estimating and manipulating the lighting in an image sequence. The current scene lighting is estimated for each frame exploiting 3-D model information and by synthetic re-lighting

  15. Institute for Software Technology Model-Based Testing

    E-Print Network [OSTI]

    t Institute for Software Technology Model-Based Testing Ausgewählte Kapitel Softwaretechnologie 2 2013/14 B.K. Aichernig Model-Based Testing 1 / 38 #12;t Institute for Software Technology Testing-Based Testing 2 / 38 #12;t Institute for Software Technology Testing vs. Model Checking vs. Proving One proves

  16. Fuel Cell System Improvement for Model-Based Diagnosis Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which

  17. Model-based Prognostics with Concurrent Damage Progression Processes

    E-Print Network [OSTI]

    Daigle, Matthew

    and wear processes contribute to the overall component degradation. We develop a model- based prognostics-based model of a centrifugal pump that includes damage progression models, to which we apply our model Terms--model-based prognostics, particle filters, vari- ance control, centrifugal pumps I. INTRODUCTION

  18. EM Risk and Cleanup Decision Making Presentation by Mark Gilbertson...

    Office of Environmental Management (EM)

    * Existing environment and health risk www.em.doe.gov 2 * Existing environment and health risk analysis to support decision-making * Considerations going forward The Past Five...

  19. Decision Summaries | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Information Center Decision Summaries Decision Summaries June 19, 2015 Summary of Decisions - June 15, 2015 - June 19, 2015 Decisions were issued on: - Personnel Security (10...

  20. Chapter II.5 Supporting Performance Awareness

    E-Print Network [OSTI]

    , the compo- nents may also derive useful knowledge by analyzing long term trends or periodic behavior observed in performance, or by comparing observed performance with model based predictions, to support

  1. Automated verification of model-based programs under uncertainty

    E-Print Network [OSTI]

    Mahtab, Tazeen, 1981-

    2004-01-01

    Highly robust embedded systems have been enabled through software executives that have the ability to reason about their environment. Those that employ the model-based autonomy paradigm automatically diagnose and plan ...

  2. Qualitative Reasoning Feeding Back into Quantitative Model-Based Tracking

    E-Print Network [OSTI]

    Nebel, Bernhard

    Qualitative Reasoning Feeding Back into Quantitative Model-Based Tracking Christian K¨ohler, 1- bilize basic signal processing and pattern recognition processes like the reliable extraction of some

  3. A Geothermal Field Model Based On Geophysical And Thermal Prospectings...

    Open Energy Info (EERE)

    Field Model Based On Geophysical And Thermal Prospectings In Nea Kessani (Ne Greece) Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: A...

  4. Improving Testing of Enterprise Systems by Model-based Testing on Graphical User Sebastian Wieczorek and Alin Stefanescu

    E-Print Network [OSTI]

    Southampton, University of

    Testing; System-level Testing I. INTRODUCTION Enterprise Resource Planning (ERP) software [1] supports place for the test exe- cution and that any applicable testing approach for enterprise software hasImproving Testing of Enterprise Systems by Model-based Testing on Graphical User Interfaces

  5. Model-based Pre-processing in Protein Mass Spectrometry 

    E-Print Network [OSTI]

    Wagaman, John C.

    2011-02-22

    with varied mass accuracy. . . . . . . . . . 77 x TABLE Page 12. Average number (and standard error) of misclassified spectra af- ter applying PPC to our model-based peaks, using different nor- malization techniques. Results in this table use all 89 spectra... to identify peak cluster locations and split points. . . . . . . . . . . . . 82 13. Leave-one-out cross-validation of misclassified spectra after apply- ing PPC, LADA and AdaBoost to our model-based peaks, using different normalization techniques and only...

  6. Agent Based Models for Enterprise Wide Optimization and Decision SupportOptimization and Decision Support

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    schedulingsynthesis, planning, scheduling, supervision, maintenance, risk mgmt 10 #12;Supply Chain Raw material Chain Management · Fundamental Questions ­ What product (mix) to sell?p ( ) ­ What raw materials CLogistics LPG Chemicals Manufacturer D Arab Crude yLogistics Provider B Logistics LPG Crude Producer

  7. A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring

    SciTech Connect (OSTI)

    Rodgers, A; Harris, D; Pasyanos, M

    2007-03-14

    This report describes research performed under Laboratory Research and Development Project 05-ERD-019, entitled ''A New Capability for Regional High-Frequency Seismic Wave Simulation in Realistic Three-Dimensional Earth Models to Improve Nuclear Explosion Monitoring''. A more appropriate title for this project is ''A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring''. This project supported research for a radically new approach to nuclear explosion monitoring as well as allowed the development new capabilities in computational seismology that can contribute to NNSA/NA-22 Programs.

  8. ADAPTIVE MODEL BASED CONTROL FOR WASTEWATER TREATMENT PLANTS

    E-Print Network [OSTI]

    Boucherie, Richard J.

    that obliged the water boards to increase the energy-efficiency of wastewater treatment plants with at least 2ADAPTIVE MODEL BASED CONTROL FOR WASTEWATER TREATMENT PLANTS Arie de Niet1 , Maartje van de Vrugt2.j.boucherie@utwente.nl Abstract In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge

  9. Social Influence Models based on Starbucks Networks Minkyoung Kim

    E-Print Network [OSTI]

    Social Influence Models based on Starbucks Networks Minkyoung Kim Interdisciplinary Program of Korea june@sktelecom.com Abstract Starbucks coffee shops have been spread rapidly and widely all over networks. In particular, the spreading speed of Starbuck Korea was at record levels [10]. In this paper, we

  10. Human Motion Capture Data Compression by Model-Based Indexing

    E-Print Network [OSTI]

    Bhandarkar, Suchendra "Suchi" M.

    Human Motion Capture Data Compression by Model-Based Indexing: A Power Aware Approach Siddhartha Chattopadhyay, Suchendra M. Bhandarkar, Member, IEEE, and Kang Li Abstract--Human Motion Capture (MoCap) data can be used for animation of virtual human-like characters in distributed virtual reality applications

  11. Designing Mobility Models based on Social Networks Theory

    E-Print Network [OSTI]

    Mascolo, Cecilia

    Designing Mobility Models based on Social Networks Theory Mirco Musolesi Cecilia Mascolo m in social sciences for years. In this paper we propose a new mobility model founded on social network theory of the validation is, therefore, highly dependent on how realistic the movement models used in the simulations are

  12. A taxonomy for simulation modeling based on programming language principles

    E-Print Network [OSTI]

    Mukherjee, Amlan

    A taxonomy for simulation modeling based on programming language principles PAUL A. FISHWICK many diverse areas employ simulation models, no agreed-upon taxonomy has been developed to categorize than the design structure of the model. We present a uniform model design taxonomy whose categories

  13. Model Based Object Recognition by Robust Information Fusion Haifeng Chen

    E-Print Network [OSTI]

    Model Based Object Recognition by Robust Information Fusion Haifeng Chen ¢¡¤£ Ilan Shimshoni on robust information fusion is put forward in this paper. In this algorithm, the property of probabilistic fusion technique that is based on the non- parametric mode search method, mean shift, is proposed

  14. On Model Based Synthesis of Embedded Control Software Vadim Alimguzhin

    E-Print Network [OSTI]

    Tronci, Enrico

    Systems are indeed Software Based Control Sys- tems (SBCSs), that is control systems whose controller Model Based Design approaches for control software. Given the formal model of a plant as a Discrete Time Linear Hybrid System and the implementation specifications (that is, number of bits in the Analog-to-Digital

  15. MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES

    E-Print Network [OSTI]

    Van den Hof, Paul

    .mesbah@tudelft.nl Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process of the open-loop optimal control due to plant-model mismatch, unmeasured process disturbances, irreproducibleMODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES A. Mesbah1, 2 , J. Landlust

  16. Model-Based Dependability Analysis of Programmable Drug Infusion Pumps

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    Model-Based Dependability Analysis of Programmable Drug Infusion Pumps Sriram Sankaranarayanan.lastname@colorado.edu Abstract. Infusion pumps are commonly used in home/hospital care to inject drugs into a patient a case-study involving an infusion pump used to manage pain through the infusion of analgesic drugs

  17. Model based dependability evaluation for automotive control functions

    E-Print Network [OSTI]

    Schlingloff, Holger

    Model based dependability evaluation for automotive control functions Sasa Vulinovic 1 , Bernd@informatik.hu-berlin.de Abstract In this paper, we study the evaluation of reliability for embedded functions in automotive. In order to assess fault tolerant designs for automotive software it is essential to be able to predict

  18. Model-based Conformance Testing for Android Yiming Jing1

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    Model-based Conformance Testing for Android Yiming Jing1 , Gail-Joon Ahn1 , and Hongxin Hu2 1- formance testing framework for mobile platforms, focused on Android platform. Our framework systematically studies on Android Inter-Component Communication module. 1 Introduction According to a recent report from

  19. An Argumentation-based Approach to Handling Trust in Distributed Decision Simon Parsons and Elizabeth Sklar

    E-Print Network [OSTI]

    California at Davis, University of

    information from particu- lar sources impacts the decisions they have to make. We de- scribe the formal system to support decision making in situations where the source of the information on which decisions are based concentrate, in particular, on the trust that decision-makers have in information sources. The approach

  20. Aging and decision making 

    E-Print Network [OSTI]

    Miller, Sophie

    2010-06-30

    The study sought to clarify the effects of aging in regard to decision making abilities. Decision making is dependent upon the Frontal Cortex structures; the Orbitofrontal Cortex and the Dorsolateral Prefrontal Cortex. These structures are thought...

  1. An Effective Practical Model-Based Detectability Tool Neal Snooke 1

    E-Print Network [OSTI]

    Snooke, Neal

    Comprehensive model- based simulation of system (FMEA) Fault coverage report Selection of sensors Structure

  2. Sequential Bayesian Detection: A Model-Based Approach

    SciTech Connect (OSTI)

    Candy, J V

    2008-12-08

    Sequential detection theory has been known for a long time evolving in the late 1940's by Wald and followed by Middleton's classic exposition in the 1960's coupled with the concurrent enabling technology of digital computer systems and the development of sequential processors. Its development, when coupled to modern sequential model-based processors, offers a reasonable way to attack physics-based problems. In this chapter, the fundamentals of the sequential detection are reviewed from the Neyman-Pearson theoretical perspective and formulated for both linear and nonlinear (approximate) Gauss-Markov, state-space representations. We review the development of modern sequential detectors and incorporate the sequential model-based processors as an integral part of their solution. Motivated by a wealth of physics-based detection problems, we show how both linear and nonlinear processors can seamlessly be embedded into the sequential detection framework to provide a powerful approach to solving non-stationary detection problems.

  3. GENI: A graphical environment for model-based control

    SciTech Connect (OSTI)

    Kleban, S.; Lee, M.; Zambre, Y.

    1989-10-01

    A new method to operate machine and beam simulation programs for accelerator control has been developed. Existing methods, although cumbersome, have been used in control systems for commissioning and operation of many machines. We developed GENI, a generalized graphical interface to these programs for model-based control. This object-oriented''-like environment is described and some typical applications are presented. 4 refs., 5 figs.

  4. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

    E-Print Network [OSTI]

    Williams, Brian C.

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  5. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005

    E-Print Network [OSTI]

    Williams, Brian

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  6. Engineering Applications of Artificial Intelligence 16 (2003) 237250 Hierarchical decision making for proactive quality control: system

    E-Print Network [OSTI]

    Huang, Yinlun

    2003-01-01

    Engineering Applications of Artificial Intelligence 16 (2003) 237­250 Hierarchical decision making by resorting to artificial intelligence and engineering fundamentals. The approach is developed for solving control; Intelligent decision support; Artificial intelligence; Fuzzy logic; Automotive coating 1

  7. Decision insight into stakeholder conflict for ERN.

    SciTech Connect (OSTI)

    Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken; Warrender, Christina E.; Morrow, James Dan

    2012-02-01

    Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effects in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

  8. Record of Decision Available

    Broader source: Energy.gov [DOE]

    DOE has recently published its Record of Decision announcing and explaining DOE’s chosen project alternative and describing any commitments for mitigating potential environmental impacts. The NEPA...

  9. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.

  10. Model-based Processing of Microcantilever Sensor Arrays

    SciTech Connect (OSTI)

    Tringe, J W; Clague, D S; Candy, J V; Sinensky, A K; Lee, C L; Rudd, R E; Burnham, A K

    2005-04-27

    We have developed a model-based processor (MBP) for a microcantilever-array sensor to detect target species in solution. We perform a proof-of-concept experiment, fit model parameters to the measured data and use them to develop a Gauss-Markov simulation. We then investigate two cases of interest, averaged deflection data and multi-channel data. For this evaluation we extract model parameters via a model-based estimation, perform a Gauss-Markov simulation, design the optimal MBP and apply it to measured experimental data. The performance of the MBP in the multi-channel case is evaluated by comparison to a ''smoother'' (averager) typically used for microcantilever signal analysis. It is shown that the MBP not only provides a significant gain ({approx} 80dB) in signal-to-noise ratio (SNR), but also consistently outperforms the smoother by 40-60 dB. Finally, we apply the processor to the smoothed experimental data and demonstrate its capability for chemical detection. The MBP performs quite well, apart from a correctable systematic bias error.

  11. Implementing Motor Decision Plans 

    E-Print Network [OSTI]

    Elliott, R. N.

    2001-01-01

    The first step to reducing energy costs and increasing reliability in motors is to establish a motor plan. A motor plan allows decisions to be made in advance of motor failure, and increases the options available. By contrast, most motor decisions...

  12. Key challenges to model-based design : distinguishing model confidence from model validation

    E-Print Network [OSTI]

    Flanagan, Genevieve (Genevieve Elise Cregar)

    2012-01-01

    Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these ...

  13. Odd-even sample packet recovery using an AR model based tree search interpolation method 

    E-Print Network [OSTI]

    Erhart, Wesley Ronald

    1993-01-01

    This thesis describes a novel tree search, autoregressive- model-based interpolation method for recovering lost packets of DPCM encoded speech. This method is described as an evolution of an adaptive AR model-based ...

  14. Model-Based Mediation with Domain Maps Bertram Ludascher? Amarnath Gupta? Maryann E. Martonez

    E-Print Network [OSTI]

    Ludäscher, Bertram

    Model-Based Mediation with Domain Maps Bertram Lud¨ascher? Amarnath Gupta? Maryann E. Martonez ?San

  15. AutoMoDe Notations, Methods, and Tools for Model-Based Development of Automotive Software

    E-Print Network [OSTI]

    Braun, Peter

    05AE-268 AutoMoDe ­ Notations, Methods, and Tools for Model-Based Development of Automotive describes the first results from the AutoMoDe project (Automotive Model-based Development), where an integrated methodology for model-based development of automotive control software is being developed

  16. An evaluation of support vector machines in consumer credit analysis

    E-Print Network [OSTI]

    Mattocks, Benjamin A

    2013-01-01

    This thesis examines a support vector machine approach for determining consumer credit. The support vector machine using a radial basis function (RBF) kernel is compared to a previous implementation of a decision tree ...

  17. ISIPTA'07 July 19th, 2007 Data-Based Decisions under

    E-Print Network [OSTI]

    Hable, Robert

    Models Robert Hable Department of Statistics LMU Munich supported by Cusanuswerk #12;Data-Based Hable LMU Munich #12;Data-Based Decisions under Imprecise Probability and Least Favorable Models #12;Data-Based Decisions under Imprecise Probability and Least Favorable Models Task Find a decision

  18. APPLICATION OF GENEALOGICAL DECISION TREES FOR OPEN-LOOP TRACKING CONTROL

    E-Print Network [OSTI]

    Del Moral , Pierre

    APPLICATION OF GENEALOGICAL DECISION TREES FOR OPEN-LOOP TRACKING CONTROL Enso Ikonen !,1 Kaddour on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates supported by UK EPSRC Research cluster project, grant nro GR/S63779/01 Genealogical decision trees belong

  19. Essays in decision making

    E-Print Network [OSTI]

    Chang, Tom Y., 1976-

    2009-01-01

    This thesis explores the impact of individual decision making on the functioning of firms and markets. The first chapter examines how deviations from strict rationality by individuals impact the market for consumer goods. ...

  20. UNDERSTANDING HOME RENOVATION DECISIONS

    E-Print Network [OSTI]

    Watson, Andrew

    UNDERSTANDING HOME RENOVATION DECISIONS - A Research Project - Background to Our Research Energy to renovate their homes. We're interested in energy efficiency, but in all other efficient renova/ons can lower energy bills, improve comfort by reducing dra

  1. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Decision and Information Daniel Polani Artificial Intelligence ­ p.1/26 Decisions: The Fundamental Task Motivation: everything in Artificial Intelligence is basical about taking Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about

  2. Climate Information Needs for Financial Decision Making

    SciTech Connect (OSTI)

    Higgins, Paul

    2013-11-19

    Climate Information Needs for Financial Decision Making (Final Report) This Department of Energy workshop award (grant #DE-SC0008480) provided primary support for the American Meteorological Society’s study on climate information needs for financial decision making. The goal of this study was to help advance societal decision making by examining the implications of climate variability and change on near-term financial investments. We explored four key topics: 1) the conditions and criteria that influence returns on investment of major financial decisions, 2) the climate sensitivity of financial decisions, 3) climate information needs of financial decision makers, and 4) potential new mechanisms to promote collaboration between scientists and financial decision makers. Better understanding of these four topics will help scientists provide the most useful information and enable financial decision makers to use scientific information most effectively. As a result, this study will enable leaders in business and government to make well-informed choices that help maximize long-term economic success and social wellbeing in the United States The outcomes of the study include a workshop, which brought together leaders from the scientific and financial decision making communities, a publication of the study report, and a public briefing of the results to the policy community. In addition, we will present the results to the scientific community at the AMS Annual Meeting in February, 2014. The study results were covered well by the media including Bloomberg News and E&E News. Upon request, we also briefed the Office of Science Technology Policy (OSTP) and the Council on Environmental Quality (CEQ) on the outcomes. We presented the results to the policy community through a public briefing in December on Capitol Hill. The full report is publicly available at www.ametsoc.org/cin. Summary of Key Findings The United States invests roughly $1.5 trillion U.S. dollars (USD) in capital assets each year across the public and private sectors (Orszag 2008; United States Census Bureau 2013). Extreme weather events create and exacerbate risks to these financial investments by contributing to: • Direct physical impacts on the investments themselves • Degradation of critical supporting infrastructure • Changes in the availability of key natural resources • Changes to workforce availability or capacity • Changes in the customer base • Supply chain disruptions • Legal liability • Shifts in the regulatory environment • Reductions in credit ratings Even small changes in weather can impact operations in critical economic sectors. As a result, maximizing returns on financial investments depends on accurately understanding and effectively accounting for these risks. Climate variability and change can either exacerbate existing risks or cause new sources of risk to emerge. Managing these risks most effectively will depend on scientific advances and increases in the capacity of financial decision makers to use the scientific knowledge that results. Barriers to using climate information must also be overcome. This study proposes three predefined levels of certainty for communicating about weather and climate risks: 1) possible (i.e., unknown likelihood or less than 50% chance of occurrence), 2) probable (greater than 50% chance of occurrence), and 3) effectively certain (at least 95% chance of occurrence). For example, it is effectively certain that a change in climate will alter weather patterns. It is probable that climate warming will cause increases in the intensity of some extreme events. It is possible that climate change will cause major and widespread disruptions to key planetary life-support services. Key recommendations of this study: 1) Identify climate-related risks and opportunities for financial decision making. 2) Create a framework to translate scientific information in clear and actionable terms for financial decision makers. 3) Analyze existing climate assessments and translate projected impacts into possible, probable,

  3. Demonstrating Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presents a next generation model-based engine controller that incorporates real-time fuel efficiency optimization and tested under fully transient engine and vehicle operating conditions.

  4. A language for functional interpretation of model based simulation Jonathan Bell a

    E-Print Network [OSTI]

    Snooke, Neal

    analysis, FMEA, Model based simulation. 1. Introduction The automation of the design analysis of engi and Effects Analysis (FMEA), Sneak Circuit Analysis (SCA), simulation explanation, Fault Tree Analysis

  5. Solar Proton Burning Process Revisited within a Covariant Model Based on the Bethe-Salpeter Formalism

    E-Print Network [OSTI]

    L. P. Kaptari; B. Kämpfer; E. Grosse

    2000-01-14

    A covariant model based on the Bethe-Salpeter formalism is proposed for investigating the solar proton burning process $pp\\to De^+\

  6. Validation of model based active control of combustion instability

    SciTech Connect (OSTI)

    Fleifil, M.; Ghoneim, Z.; Ghoniem, A.F.

    1998-07-01

    The demand for efficient, company and clean combustion systems have spurred research into the fundamental mechanisms governing their performance and means of interactively changing their performance characteristics. Thermoacoustic instability which is frequently observed in combustion systems with high power density, when burning close to the lean flammability limit, or using exhaust gas recirculation to meet more stringent emissions regulations, etc. Its occurrence and/or means to mitigate them passively lead to performance degradation such as reduced combustion efficiency, high local heat transfer rates, increase in the mixture equivalence ratio or system failure due to structural damage. This paper reports on their study of the origin of thermoacoustic instability, its dependence on system parameters and the means of actively controlling it. The authors have developed an analytical model of thermoacoustic instability in premixed combustors. The model combines a heat release dynamics model constructed using the kinematics of a premixed flame stabilized behind a perforated plate with the linearized conservation equations governing the system acoustics. This formulation allows model based controller design. In order to test the performance of the analytical model, a numerical solution of the partial differential equations governing the system has been carried out using the principle of harmonic separation and focusing on the dominant unstable mode. This leads to a system of ODEs governing the thermofluid variables. Analytical predictions of the frequency and growth ate of the unstable mode are shown to be in good agreement with the numerical simulations as well s with those obtained using experimental identification techniques when applied to a laboratory combustor. The authors use these results to confirm the validity of the assumptions used in formulating the analytical model. A controller based on the minimization of a cost function using the LQR technique has been designed using the analytical model and implemented on a bench top laboratory combustor. The authors show that the controller is capable of suppressing the pressure oscillations in the combustor with a settling time much shorter than what had been attained before and without exciting secondary peaks.

  7. Clustering of categorical data: a comparison of a model-based and a distance-based approach

    E-Print Network [OSTI]

    Hennig, Christian

    Clustering of categorical data: a comparison of a model-based and a distance-based approach Laura categorical data, a latent class model-based approach (LCC) with local independence is compared was evaluated by both a model-based as well as a distance-based criterion. LCC was better according to the model-based

  8. Decision Support for Operations and Maintenance (DSOM) - Energy Innovation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOENERSCDecember 2003/JanuaryInformation

  9. UNEP-Bioenergy Decision Support Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: EnergyU.S. EPA Region 10 Jump3 -LowUNEP-Bioenergy

  10. Energy Signal Tool for Decision Support in Building Energy Systems

    SciTech Connect (OSTI)

    Henze, G. P.; Pavlak, G. S.; Florita, A. R.; Dodier, R. H.; Hirsch, A. I.

    2014-12-01

    A prototype energy signal tool is demonstrated for operational whole-building and system-level energy use evaluation. The purpose of the tool is to give a summary of building energy use which allows a building operator to quickly distinguish normal and abnormal energy use. Toward that end, energy use status is displayed as a traffic light, which is a visual metaphor for energy use that is either substantially different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing expected to actual energy use. As expected, energy use is necessarily uncertain; we cannot choose the appropriate light with certainty. Instead, the energy signal tool chooses the light by minimizing the expected cost of displaying the wrong light. The expected energy use is represented by a probability distribution. Energy use is modeled by a low-order lumped parameter model. Uncertainty in energy use is quantified by a Monte Carlo exploration of the influence of model parameters on energy use. Distributions over model parameters are updated over time via Bayes' theorem. The simulation study was devised to assess whole-building energy signal accuracy in the presence of uncertainty and faults at the submetered level, which may lead to tradeoffs at the whole-building level that are not detectable without submetering.

  11. DECISION SUPPORT TOOL FOR DYNAMIC WORKFORCE SCHEDULING IN MANUFACTURING ENVIRONMENTS

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    number of factors such as part availability, production cost, space constraints and labor supply must and scheduling assignments. Another factor that was stressed was the inclusion of ergonomic risk. Worker-task assignments that do not take into account ergonomic risk exposure can lead to repetitive stress injuries over

  12. Decision support systems for tool reuse and EOL processes

    E-Print Network [OSTI]

    Gan, Jyeh J

    2007-01-01

    Intel® is a manufacturing company that concentrates on the fabrication process of computer chips. Over the years and into the future, Intel® has gone through multiple and advanced generations of manufacturing technology ...

  13. Human-Automation Path Planning Optimization and Decision Support

    E-Print Network [OSTI]

    Cummings, M.L.

    2011-01-01

    Path planning is a problem encountered in multiple domains, including unmanned vehicle control, air traffic control, and future exploration missions to the Moon and Mars. Due to the voluminous and complex nature of the ...

  14. Decision Support System for Adaptive Water Supply Management

    E-Print Network [OSTI]

    Vogel, Richard M.

    levels, 3 optimum reservoir balancing, and 4 maximum hydropower revenues. Case studies document the value for potential floods require adaptive management of the system as climatic and hydrologic events occur, and the maximization of revenues from three hydropower facilities. It is normally assumed that the water supply system

  15. Decision support tool for dynamic workforce scheduling in manufacturing environments \\

    E-Print Network [OSTI]

    Malik, Radhika, M. Eng. Massachusetts Institute of Technology

    2013-01-01

    Scheduling for production in manufacturing environments requires an immense amount of planning. A large number of factors such as part availability, production cost, space constraints and labor supply must be taken into ...

  16. Aqua: A Fast Decision Support System Using Approximate Query Answers

    E-Print Network [OSTI]

    Gibbons, Phillip B.

    commercial relational DBMS. Aqua precomputes synopses (special sta- tistical summaries) of the original data and stores them in the DBMS. It provides approximate an- swers (with quality guarantees) by rewriting on top of any SQL- compliant DBMS managing a data warehouse. Aqua pre- computes statistical summaries

  17. Decision support for operations and maintenance (DSOM) system

    DOE Patents [OSTI]

    Jarrell, Donald B. (Kennewick, WA); Meador, Richard J. (Richland, WA); Sisk, Daniel R. (Richland, WA); Hatley, Darrel D. (Kennewick, WA); Brown, Daryl R. (Richland, WA); Keibel, Gary R. (Richland, WA); Gowri, Krishnan (Richland, WA); Reyes-Spindola, Jorge F. (Richland, WA); Adams, Kevin J. (San Bruno, CA); Yates, Kenneth R. (Lake Oswego, OR); Eschbach, Elizabeth J. (Fort Collins, CO); Stratton, Rex C. (Richland, WA)

    2006-03-21

    A method for minimizing the life cycle cost of processes such as heating a building. The method utilizes sensors to monitor various pieces of equipment used in the process, for example, boilers, turbines, and the like. The method then performs the steps of identifying a set optimal operating conditions for the process, identifying and measuring parameters necessary to characterize the actual operating condition of the process, validating data generated by measuring those parameters, characterizing the actual condition of the process, identifying an optimal condition corresponding to the actual condition, comparing said optimal condition with the actual condition and identifying variances between the two, and drawing from a set of pre-defined algorithms created using best engineering practices, an explanation of at least one likely source and at least one recommended remedial action for selected variances, and providing said explanation as an output to at least one user.

  18. Decision support tools for environmentally conscious chemical process design

    E-Print Network [OSTI]

    Cano Ruiz, José Alejandro, 1969-

    1999-01-01

    The environment has emerged as an important determinant of the performance of the modern chemical industry. Process engineering in the 21st century needs to evolve to include environmental issues as part of the design ...

  19. Energy Signal Tool for Decision Support in Building Energy Systems...

    Office of Scientific and Technical Information (OSTI)

    different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing...

  20. A Decision Support System for chemical incident information 

    E-Print Network [OSTI]

    Sharma, Gaurav

    2002-01-01

    . This thesis proposes the development of such a DSS based on chemical incident information. Chemical incident information is mostly qualitative in nature. Therefore, mathematical and statistical analysis of this information is an extremely challenging...

  1. A Decision Methodology for Prioritizing R&D Supporting Geologic...

    Office of Scientific and Technical Information (OSTI)

    Number: DE-AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: WM2014 Waste Management Symposia, Phoenix, AZ (United States), 2-6 Mar 2014 Research Org: Sandia...

  2. A Decision Methodology for Prioritizing R&D Supporting Geologic...

    Office of Scientific and Technical Information (OSTI)

    Number: AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: WM2014 Waste Management Symposia, Phoenix, AZ (United States), 2-6 Mar 2014; Related Information:...

  3. Importance of Decision Support Implementation in Emergency Department Vancomycin Dosing

    E-Print Network [OSTI]

    Faine, Brett; Mohr, Nicholas; Harland, Kari K.; Rolfes, Kathryn; Porter, Blake; Fuller, Brian M.

    2015-01-01

    The primary outcome was the proportion of vancomycin dosesThe primary outcome was the proportion of vancomycin dosesdose ( Table 2). The proportion of patients receiving a dose

  4. A Decision Support Tool for Selecting Traffic Control Devices 

    E-Print Network [OSTI]

    Robertson, James Allan

    2015-04-17

    . Next, the author uses a portion of the same survey of transportation professionals to evaluate the importance of crashes, driver compliance, and mobility when ranking of transportation alternatives. The author concludes that compliance is a reasonable...

  5. New Decision Support Tool for Acute Lymphoblastic Leukemia Classification

    E-Print Network [OSTI]

    Chronopoulos, Anthony T.

    are to transport various agents such as oxygen, carbon dioxide, nutrients, wastes, and hormones. Blood cells properties in microscope blood film images. The blood images are exposed to series of pre-processing steps

  6. Using EMR transactional data for personalize clinical decision support

    E-Print Network [OSTI]

    Davidzon, Guido Alejandro

    2010-01-01

    Collective intelligence techniques have been used to predict stock prices, customer purchasing habits, movies and books preferences for years, yet they remain unused in the medical profession. With the increasing adoption ...

  7. The Development and Implementation of Forest Fire Management Decision Support

    E-Print Network [OSTI]

    @smokey. forestry.utoronto.ca 3 Wildfire Management Systems Inc., 80a BehnkeCres, Pem- broke, Ontario, Canada, K8A6W

  8. Real property portfolio management : a decision-support model

    E-Print Network [OSTI]

    Schcolnik, Andres E

    1988-01-01

    In the 1980's corporate real estate has assumed a more active role in the strategic planning of American corporations. However, the tools to accurately evaluate the performance of corporate real property portfolios are ...

  9. Importance of Decision Support Implementation in Emergency Department Vancomycin Dosing

    E-Print Network [OSTI]

    Faine, Brett; Mohr, Nicholas; Harland, Kari K.; Rolfes, Kathryn; Porter, Blake; Fuller, Brian M.

    2015-01-01

    4. Sakoulas G, Eliopoulos GM, Moellering RC, Jr. , et al.38. 5. Sakoulas G, Eliopoulos GM, Fowler VG, Jr. , et al.

  10. Design and Decision Support Tools | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratoryof EnergyWASHINGTON, DC - U.S.The DepartmentCBI

  11. NREL-Decision-Support Tools Demonstration | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation,MeregNIFE Baterias IndustriaisNREL-Biomass

  12. Strategies and Decision Support Systems for Integrating Variable Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc JumpHeter BatterySolarfinMarket StudiesStrategic Energy LLC Place:Resources in

  13. RETScreen International Clean Energy Decision Support Centre | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎ |RENERCO Renewable Energy

  14. Decision Support Tool: Integrated REDD+ accounting frameworks: Nested

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower VenturesInformation9) WindGrid Project)AreaDayDead Horsenational

  15. Improving Risk Assessment to Support State Energy Infrastructure Decision

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancingREnergyDepartment of EnergyEdition |

  16. Government Performance Result Act (GPRA) / Portfolio Decision Support (PDS)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,Executive CompensationEnergyGet Current:5 DepartmentEnergy Use |ofROADMAP|

  17. Fayetteville Shale Decision Support and Information System FINAL TECHNICAL REPORT

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunitiesofExtransScientific Userflow phenomena in

  18. Enabling effective product launch decisions

    E-Print Network [OSTI]

    Akamphon, Sappinandana

    2008-01-01

    The present work looks into the question of optimizing the performance of product launch decisions-in particular, the decisions of product development duration and manufacturing ramp-up. It presents an innovative model for ...

  19. Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks

    E-Print Network [OSTI]

    Breu, Ruth

    Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks C. J¨aggle J: A high level of reliability is a significant requirement for using wireless sensor networks in industrial environments. Model-based evaluation is usually applied in conventional systems to estimate the reliability

  20. Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model

    E-Print Network [OSTI]

    Dahl, David B.

    10 Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model DAVID B. DAHL data based on a well-defined statistical model, specifically, a conjugate Dirichlet process mixture are generally not known. Model-based clustering procedures have been proposed for microarray data, including (1

  1. 2 CONCEPT OF MODEL BASED TAMPERING FOR 3 IMPROVING PROCESS PERFORMANCE

    E-Print Network [OSTI]

    Bukkapatnam, Satish T.S.

    1 2 CONCEPT OF MODEL BASED TAMPERING FOR 3 IMPROVING PROCESS PERFORMANCE: 4 AN ILLUSTRATIVE 14 This paper presents the concept of a methodology called Model Based 15 Tampering (MBT based tampering (MBT), which is conceptualized in this paper, will 38 become necessary in order to meet

  2. Model-based Opponent Modelling in Domains Beyond the Prisoner's Dilemma Collin Rogowski

    E-Print Network [OSTI]

    Kaminka, Gal A.

    Model-based Opponent Modelling in Domains Beyond the Prisoner's Dilemma Collin Rogowski University of the model-based opponent modelling algorithm it-us-l* for domains be- yond the prisoner's dilemma- nent modelling algorithms are almost exclusivly done for the iterated prisoner's dilemma game (PD) [2

  3. A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients Fainekos Abstract-- We present a model-based approach to synthesiz- ing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly

  4. Identification of Local Clusters for Count Data: A Model-Based Moran's I Test

    E-Print Network [OSTI]

    Zhang, Tonglin

    in detecting local clusters by local association terms with an acceptable type I error probability. When usedIdentification of Local Clusters for Count Data: A Model-Based Moran's I Test Tonglin Zhang and Ge@wvu.edu 0 #12;Identification of Local Clusters for Count Data: A Model-Based Moran's I Test Abstract We set

  5. Arsenic in Bangladesh Decision analysis

    E-Print Network [OSTI]

    Gelman, Andrew

    Arsenic in Bangladesh Decision analysis Regression models Take-home points Arsenic and old models 2007 Andrew Gelman Arsenic and old models #12;Arsenic in Bangladesh Decision analysis Regression models Take-home points Contents Aresenic in Bangladesh Decision analysis Regression models Andrew Gelman

  6. Decision Support for IntegratedDecision Support for Integrated WaterWater--Energy PlanningEnergy Planning

    E-Print Network [OSTI]

    Keller, Arturo A.

    /Commercial -Industrial -Agriculture -Environment -Energy Energy Providers -Peak/Base -Generation Type -Location -Capacity Surface Water Ground Water Population Growth Industry Fuels Wind Hydro Solar Thermoelectric #12;System by ­ Fuel type, - Installed c

  7. Decision Analysis of Dynamic Spectrum Access Rules

    SciTech Connect (OSTI)

    Juan D. Deaton; Luiz A. DaSilva; Christian Wernz

    2011-12-01

    A current trend in spectrum regulation is to incorporate spectrum sharing through the design of spectrum access rules that support Dynamic Spectrum Access (DSA). This paper develops a decision-theoretic framework for regulators to assess the impacts of different decision rules on both primary and secondary operators. We analyze access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and overall low social welfare. On the other hand, using sensing information between the transmitter and receiver of a communication link, provides dramatic increases in system performance. The performance of using these link end points is relatively close to that of using many cooperative sensing nodes associated to the same access point and large link exclusion areas. These results are useful to regulators and network developers in understanding in developing rules for future DSA regulation.

  8. Support Nodes

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel Production 1: TotalofSupply StoresSupport Nodes Support

  9. Agent-based modeling of human decision-making behavior within Spatial Decision Support Systems

    E-Print Network [OSTI]

    Sengupta, Raja

    on modeling humans as spatial "agents" that impact the landscape in some fashion. For example, considerable characteristics of the individual, such as age and income, and spatial characteristics of their land holdings for a period of ten years. Modeling Farmers as Agents Traditionally, neoclassical economic theories and profit-maximizing

  10. Intersecting electronic decision support with user modelling in a web-based consumer decision aid for

    E-Print Network [OSTI]

    Grasso, Floriana

    Eastern Asia and Australia [1]. In the United States, in 2003 it was predicted to account for 10% of all cancer-related deaths [2]. Similarly in the EU, CRC accounted for 13% of new cancer cases and ~10% of cancer deaths in 2004 [3]. In Australia CRC was responsible for 14% of cancer deaths for the year 1990 [4

  11. Sustainable Transportation Decision-Making: Spatial Decision Support Systems (SDSS) and Total Cost Analysis 

    E-Print Network [OSTI]

    Kim, Hwan Yong

    2013-04-04

    Building a new infrastructure facility requires a significant amount of time and expense. This is particularly true for investments in transportation for their longstanding and great degree of impact on society. The scope ...

  12. DISLOCATION GENERATION IN Si: A THERMO-MECHANICAL MODEL BASED ON MEASURABLE PARAMETERS*

    E-Print Network [OSTI]

    Balzar, Davor

    DISLOCATION GENERATION IN Si: A THERMO-MECHANICAL MODEL BASED ON MEASURABLE PARAMETERS* Bhushan for predicting dislocation distribution generated by thermal stresses in Si is described. We use that can minimize dislocation generation for improved solar cell performance. INTRODUCTION Dislocations

  13. Applying model-based methods to analyze genomics data Zhaohui Qin

    E-Print Network [OSTI]

    Jin, Jiashun

    Applying model-based methods to analyze genomics data by Zhaohui Qin Department of Biostatistics in the post-genomic era. Effective clustering and screening algorithms facilitate the identification of subtle

  14. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process 

    E-Print Network [OSTI]

    Lin, Chen-Han

    2014-11-21

    This thesis presents a hybrid model based and statistical fault diagnosis system, which applied on the nonlinear three-tank model. The purpose of fault diagnosis is generating and analyzing the residual to find out the fault occurrence. This fault...

  15. Comparison of Chiller Models for Use in Model-Based Fault Detection 

    E-Print Network [OSTI]

    Sreedhara, P.; Haves, P.

    2001-01-01

    Selecting the model is an important and essential step in model based fault detection and diagnosis (FDD). Factors that are considered in evaluating a model include accuracy, training data requirements, calibration effort, generality...

  16. Automatic Calibration of Freeway Models with Model-Based Fault Detection

    E-Print Network [OSTI]

    Dervisoglu, Gunes

    2012-01-01

    3 Automatic Freeway Model Calibration Procedure 3.1 FreewayR. Horowitz, and P. Varaiya. Automatic calibration of theAutomatic Calibration of Freeway Models with Model-Based

  17. Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform

    E-Print Network [OSTI]

    Daigle, Matthew

    , and availability. Prognos- tics deals with determining the health state of compo- nents, and projecting) predictions. Model-based prognos- tics approaches perform these tasks with the aid of a model that captures

  18. AutoMoDe - Model-Based Development of Automotive Software

    E-Print Network [OSTI]

    Ziegenbein, Dirk; Freund, Ulrich; Bauer, Andreas; Romberg, Jan; Schatz, Bernhard

    2011-01-01

    This paper describes first results from the AutoMoDe (Automotive Model-Based Development) project. The overall goal of the project is to develop an integrated methodology for model-based development of automotive control software, based on problem-specific design notations with an explicit formal foundation. Based on the existing AutoFOCUS framework, a tool prototype is being developed in order to illustrate and validate the key elements of our approach.

  19. Latent effects decision analysis

    DOE Patents [OSTI]

    Cooper, J. Arlin (Albuquerque, NM); Werner, Paul W. (Albuquerque, NM)

    2004-08-24

    Latent effects on a system are broken down into components ranging from those far removed in time from the system under study (latent) to those which closely effect changes in the system. Each component is provided with weighted inputs either by a user or from outputs of other components. A non-linear mathematical process known as `soft aggregation` is performed on the inputs to each component to provide information relating to the component. This information is combined in decreasing order of latency to the system to provide a quantifiable measure of an attribute of a system (e.g., safety) or to test hypotheses (e.g., for forensic deduction or decisions about various system design options).

  20. American Institute of Aeronautics and Astronautics Automation Bias in Intelligent Time Critical Decision

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    American Institute of Aeronautics and Astronautics 1 Automation Bias in Intelligent Time Critical levels of automation can be introduced by intelligent decision support systems, from fully automated, where the operator is completely left out of the decision process, to minimal levels of automation

  1. Comparison between JET Profile Data and the Predictions of a Transport Model Based on ITG and Trapped Electron Modes

    E-Print Network [OSTI]

    Comparison between JET Profile Data and the Predictions of a Transport Model Based on ITG and Trapped Electron Modes

  2. The Effects of a Standards-Based Curriculum on Science Teachers' Instructional Decisions 

    E-Print Network [OSTI]

    Metty, Jane Maureen

    2011-10-21

    made instructional decisions both to use CSCOPE as intended and to modify CSCOPE lessons. Modifications to CSCOPE were made despite (1) an administrative mandate not to modify CSCOPE, (2) good administrative support, and (3) the stated intention...

  3. Reverse supply chain forecasting and decision modeling for improved inventory management

    E-Print Network [OSTI]

    Petersen, Brian J. (Brian Jude)

    2013-01-01

    This thesis details research performed during a six-month engagement with Verizon Wireless (VzW) in the latter half of 2012. The key outcomes are a forecasting model and decision-support framework to improve management of ...

  4. Background Basic methods Model-based algorithms Model-free algorithms RTI Perspectives Conclusions References Cooperative localization in sensor networks

    E-Print Network [OSTI]

    Hero, Alfred O.

    Background Basic methods Model-based algorithms Model-free algorithms RTI Perspectives Conclusions 23, 2015 1 52 #12;Background Basic methods Model-based algorithms Model-free algorithms RTI Coates (McGill) 2 52 #12;Background Basic methods Model-based algorithms Model-free algorithms RTI

  5. FEATURE ARTICLES Group Decision Making

    E-Print Network [OSTI]

    FEATURE ARTICLES Group Decision Making in Honey Bee Swarms When 10,000 bees go house hunting, how a neighboring colony. A striking example of decision mak- ing by an animal group is the choice of a nesting site paper on house hunting by honey bees. Lindauer was then a postdtx:toral stu- dent at the University

  6. MIDAS : minor incident decision analysis software

    E-Print Network [OSTI]

    Horng, Tze-Chieh, 1964-

    2004-01-01

    MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents ...

  7. Interactions between learning and decision making

    E-Print Network [OSTI]

    Tulabandhula, Theja

    2014-01-01

    We quantify the effects of learning and decision making on each other in three parts. In the first part, we look at how knowledge about decision making can influence learning. Let the decision cost be the amount spent by ...

  8. Contributions to risk-informed decision making

    E-Print Network [OSTI]

    Elliott, Michael A. (Michael Alfred)

    2010-01-01

    Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under ...

  9. Accommodating complexity and human behaviors in decision analysis.

    SciTech Connect (OSTI)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  10. Model based multivariable controller for large scale compression stations. Design and experimental validation on the LHC 18KW cryorefrigerator

    SciTech Connect (OSTI)

    Bonne, François; Bonnay, Patrick [INAC, SBT, UMR-E 9004 CEA/UJF-Grenoble, 17 rue des Martyrs, 38054 Grenoble (France); Alamir, Mazen [Gipsa-Lab, Control Systems Department, CNRS-University of Grenoble, 11, rue des Mathématiques, BP 46, 38402 Saint Martin d'Hères (France); Bradu, Benjamin [CERN, CH-1211 Genève 23 (Switzerland)

    2014-01-29

    In this paper, a multivariable model-based non-linear controller for Warm Compression Stations (WCS) is proposed. The strategy is to replace all the PID loops controlling the WCS with an optimally designed model-based multivariable loop. This new strategy leads to high stability and fast disturbance rejection such as those induced by a turbine or a compressor stop, a key-aspect in the case of large scale cryogenic refrigeration. The proposed control scheme can be used to have precise control of every pressure in normal operation or to stabilize and control the cryoplant under high variation of thermal loads (such as a pulsed heat load expected to take place in future fusion reactors such as those expected in the cryogenic cooling systems of the International Thermonuclear Experimental Reactor ITER or the Japan Torus-60 Super Advanced fusion experiment JT-60SA). The paper details how to set the WCS model up to synthesize the Linear Quadratic Optimal feedback gain and how to use it. After preliminary tuning at CEA-Grenoble on the 400W@1.8K helium test facility, the controller has been implemented on a Schneider PLC and fully tested first on the CERN's real-time simulator. Then, it was experimentally validated on a real CERN cryoplant. The efficiency of the solution is experimentally assessed using a reasonable operating scenario of start and stop of compressors and cryogenic turbines. This work is partially supported through the European Fusion Development Agreement (EFDA) Goal Oriented Training Program, task agreement WP10-GOT-GIRO.

  11. Technology Support Bob Davis

    E-Print Network [OSTI]

    Technology Support Services · Bob Davis · Associate Director User Support Services 1 #12;Technology Support Services · NUIT Technology Support Services (TSS) helps Northwestern faculty, staff, and students Technologies · Brian Nielsen · Project Manager Faculty Initiatives 8 #12;Support for Teaching & Learning

  12. Financial Implications of Engineering Decisions 

    E-Print Network [OSTI]

    Aslan, Veysel

    2012-10-19

    planning and engineering decisions have detrimental effects on communities as they attempt to recover and rebuild. While there is an inherent difficulty in the quantification of the cost of human life, interruption in business operations, and damage...

  13. Single-photon decision maker

    E-Print Network [OSTI]

    Naruse, Makoto; Drezet, Aurelien; Huant, Serge; Aono, Masashi; Hori, Hirokazu; Kim, Song-Ju

    2015-01-01

    Decision making is critical in our daily lives and for society in general and is finding evermore practical applications in information and communication technologies. Herein, we demonstrate experimentally that single photons can be used to make decisions in uncertain, dynamically changing environments. Using a nitrogen-vacancy in a nanodiamond as a single-photon source, we demonstrate the decision-making capability by solving the multi-armed bandit problem. This capability is directly and immediately associated with single-photon detection in the proposed architecture, leading to adequate and adaptive autonomous decision making. This study makes it possible to create systems that benefit from the quantum nature of light to perform practical and vital intelligent functions.

  14. Composition of Model-based Test Coverage Criteria Mario Friske, Bernd-Holger Schlingloff, Stephan Weileder

    E-Print Network [OSTI]

    Schlingloff, Holger

    . Widely accepted means for assessing the quality of a test suite are coverage criteria. Criteria can detection abilities of the test suite. The result is a large variety of defined criteria for structuralComposition of Model-based Test Coverage Criteria Mario Friske, Bernd-Holger Schlingloff, Stephan

  15. A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction

    E-Print Network [OSTI]

    A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction Ruoqiao Zhang, Jean, Senior Member, IEEE Abstract--Recent developments in dual-energy X-ray CT have shown a number of benefits the opportunity to reduce noise and artifacts in dual energy reconstructions. However, previous approaches

  16. Streaming Model Based Volume Ray Casting Implementation for Cell Broadband Engine

    E-Print Network [OSTI]

    JaJa, Joseph F.

    Streaming Model Based Volume Ray Casting Implementation for Cell Broadband Engine Jusub Kim grows. While a number of volumetric rendering techniques have been widely used, ray casting has been, the use of ray casting has been limited to datasets that are very small because of its high demands

  17. A Modeling-Based Technique for Nondestructive Evaluation of Metal Powders Undergoing Microwave Sintering

    E-Print Network [OSTI]

    Yakovlev, Vadim

    A Modeling-Based Technique for Nondestructive Evaluation of Metal Powders Undergoing Microwave of sensors and probes (see, e.g., [9]) is very limited here because of high (up to hundreds degrees Celsius the development of suitable means of nondestructive evaluation (NDE) of powder samples under microwave 978

  18. Approximation-Tolerant Model-Based Compressive Sensing Chinmay Hegde, Piotr Indyk, Ludwig Schmidt

    E-Print Network [OSTI]

    Approximation-Tolerant Model-Based Compressive Sensing Chinmay Hegde, Piotr Indyk, Ludwig Schmidt the measurement process. Standard results in compressive sensing show that it is possible to recover the signal x compressive sensing [BCDH10] overcomes the lower bound and reduces the number of measurements further to O

  19. Extraction of Vibration Components from a Rotating Propeller Model Based on Complex Empirical Mode Decomposition

    E-Print Network [OSTI]

    Myung, Noh-Hoon

    Extraction of Vibration Components from a Rotating Propeller Model Based on Complex Empirical Mode dydynoel@kaist.ac.kr Abstract -- In this paper, we present extraction of vibration components embedded decomposition (CEMD), an extended version of EMD, is employed to extract the vibration components. With FEKO

  20. A Model-Based Impedance Control Scheme for High-Performance Hydraulic Joints

    E-Print Network [OSTI]

    Papadopoulos, Evangelos

    A Model-Based Impedance Control Scheme for High-Performance Hydraulic Joints Glen Bilodeau1, Greece Abstract Impedance control of a hydraulic servoactuator joint system is discussed in this paper individually. Due to nonlinear properties of hydraulic actuators, impedance control is difficult. The control

  1. OPERATOR INTERACTION WITH MODEL-BASED PREDICTIVE CONTROLLERS IN PETROCHEMICAL REFINING

    E-Print Network [OSTI]

    Virginia, University of

    OPERATOR INTERACTION WITH MODEL-BASED PREDICTIVE CONTROLLERS IN PETROCHEMICAL REFINING Greg A in process control to the more thoroughly studied Flight Management System (FMS) employed in airline cockpits and challenging task. Keywords: Cognitive task analysis; Process control; Predictive control; Optimization

  2. Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging

    E-Print Network [OSTI]

    Paragios, Nikos

    Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging Mickael Savinaud1,2,3 , Martin-view Fusion of Cinematic Flow and Optical Imaging 669 optical imaging devices are now able to image does not enable cinematic acquisition. The use of temporal information involves either animal tracking

  3. Handling risk of uncertainty in model-based production optimization: a

    E-Print Network [OSTI]

    Van den Hof, Paul

    .d.Jansen@tudelft.nl) Abstract: Model-based economic optimization of oil production suffers from high levels of uncertainty, the secondary objective is aimed at maximizing the speed of oil production to mitigate risk. This multi and production data about the true values of the model parameters. Furthermore, economic variables such as oil

  4. Tighter Relaxations for Higher-Order Models based on Generalized Roof Duality

    E-Print Network [OSTI]

    Lunds Universitet

    Tighter Relaxations for Higher-Order Models based on Generalized Roof Duality Johan Fredriksson one of the most successful approaches, namely roof duality, for approximately solving such problems cone. In the sec- ond method, it is shown that the roof dual bound can be applied in an iterated way

  5. A Model-Based Framework for Developing and Deploying Data Aggregation Services

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    A Model-Based Framework for Developing and Deploying Data Aggregation Services Ramakrishna Soma1 , Amol Bakshi2 , V.K.Prasanna2 , Will Da Sie3 1 Dept of Computer Science, USC, Los Angeles, CA 2 Dept of Electrical Engineering, USC, Los Angeles, CA {rsoma, amol, prasanna}@usc.edu 3 Chevron Corporation, San Ramon

  6. Model-based congestion analysis during outage and system reconfiguration in GPRS networks

    E-Print Network [OSTI]

    Firenze, Università degli Studi di

    Model-based congestion analysis during outage and system reconfiguration in GPRS networks overlapping. In particular, we consider that one of the two cells is affected by an outage and we analyze resources become suddenly unavailable due to malfunctions. The occurrence of an outage is the typical event

  7. Reliable Web Service Publication and Discovery through Model-Based Testing

    E-Print Network [OSTI]

    Simons, Anthony J. H.

    1 #12;Reliable Web Service Publication and Discovery through Model-Based Testing and Verification-party Web services are becoming key factors to the adoption of service oriented computing in industrial for consumers to build confidence on third-party Web services. In this paper we propose modelling the behaviour

  8. Robust model based control method for wind energy production A. Pintea 1

    E-Print Network [OSTI]

    Boyer, Edmond

    Robust model based control method for wind energy production A. Pintea 1 , D. Popescu 1 , Ioana change effects will come to dominate every part of the earth. Wind power energy represents an interesting alternative to traditional forms of obtaining energy. However, the efficiency of wind power strongly depends

  9. A PLASMA EXPANSION MODEL BASED ON THE FULL EULER-POISSON SYSTEM

    E-Print Network [OSTI]

    Vignal, Marie-Hélène

    current diodes and of arc phenomena on satellites. This plasma undergoes a thermal expansion in the gapA PLASMA EXPANSION MODEL BASED ON THE FULL EULER-POISSON SYSTEM P. Crispel CNES Centre de Toulouse a quasi-neutral plasma expanding in the vacuum gap separat- ing two electrodes. During the expansion, some

  10. Mixture Model-based Statistical Pattern Recognition of Clustered or Longitudinal Data

    E-Print Network [OSTI]

    McLachlan, Geoff

    Mixture Model-based Statistical Pattern Recognition of Clustered or Longitudinal Data Shu-Kay Ng hierarchies via the linear mixed-effects model (LMM). Clustered and longitudinal data hierarchy settings- ture models to incorporate data hierarchies via the linear mixed-effects model (LMM). With the LMM

  11. FINITE ELEMENT MODEL-BASED STRUCTURAL HEALTH MONITORING (SHM) SYSTEMS FOR COMPOSITE MATERIAL UNDER

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    FINITE ELEMENT MODEL-BASED STRUCTURAL HEALTH MONITORING (SHM) SYSTEMS FOR COMPOSITE MATERIAL UNDER). To design a Structural Health Monitoring (SHM) system, it is important to understand phenomenologically Workshop on Structural Health Monitoring July 8-11, 2014. La Cité, Nantes, France Copyright © Inria (2014

  12. Model-based Failure Modes and Effects Analysis of Neal Snooke 1

    E-Print Network [OSTI]

    Snooke, Neal

    embedded software developers who are already familiar with the benefits of FMEA analysis. Several au- thors discuss experiences of performing manual FMEA of software however there has been no attempt at automating of software and the success of model based automated FMEA for hardware. 1 Introduction The notion of Software

  13. MODEL-BASED NETWORKED CONTROL SYSTEMS Luis A. Montestruque, Panos J. Antsaklis

    E-Print Network [OSTI]

    Antsaklis, Panos

    MODEL-BASED NETWORKED CONTROL SYSTEMS ­ STABILITY Luis A. Montestruque, Panos J. Antsaklis to interconnect the different components in an industrial control system is rapidly increasing. For example of different subsystems to control make the use of single wires to interconnect the control system

  14. HASARD: A Model-Based Method for Quality Analysis of Software Architecture

    E-Print Network [OSTI]

    Zhu, Hong

    HASARD: A Model-Based Method for Quality Analysis of Software Architecture Hong Zhu Department for the analysis of software quality as entailed in software architectural designs. In this method, quality hazards architectural designs to predict their quality. 1.1 Motivation Software architecture is a structural model

  15. A Simple Stand Growth Model Based on Canopy Dynamics and Biomechanics

    E-Print Network [OSTI]

    Cao, Quang V.

    A Simple Stand Growth Model Based on Canopy Dynamics and Biomechanics Thomas J. Dean, Mauricio be expressed in terms of wind drag. From this point of view, biomechanical principles determine the stem cross in a developing stand, biomechanics create a conceptual framework for predicting aboveground stem production

  16. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    A Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization: sxn124@case.edu Abstract-Harvesting energy from the environment can play an important role in reducing the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable

  17. Towards model-based control of a steam Rankine process for engine waste heat recovery

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Towards model-based control of a steam Rankine process for engine waste heat recovery Johan Peralez control the system during nominal operation. Model reduction is obtained at the heat-exchanger level Paolino Tona and Antonio Sciarretta IFP Energies Nouvelles Control, Signal and System Department Lyon site

  18. Model-Based Self-Managing Systems Engineering A. Taleb-Bendiab

    E-Print Network [OSTI]

    Taleb-Bendiab, A.

    Model-Based Self-Managing Systems Engineering A. Taleb-Bendiab School of Computing & Mathematical of Engineering University of Ulster UK Email dw.bustard@ulster.ac.uk R. Sterritt Faculty of Engineering systems and cybernetics to AI communities. These research trends have now been further fuelled by the IBM

  19. NUMERICAL SOLUTION OF RESERVOIR FLOW MODELS BASED ON LARGE TIME STEP OPERATOR SPLITTING ALGORITHMS

    E-Print Network [OSTI]

    NUMERICAL SOLUTION OF RESERVOIR FLOW MODELS BASED ON LARGE TIME STEP OPERATOR SPLITTING ALGORITHMS. Special focus is posed on the numerical solution algorithms for the saturation equation, which. The general background for the reservoir ow model is reviewed, and the main features of the numerical

  20. NUMERICAL SOLUTION OF RESERVOIR FLOW MODELS BASED ON LARGE TIME STEP OPERATOR SPLITTING ALGORITHMS

    E-Print Network [OSTI]

    NUMERICAL SOLUTION OF RESERVOIR FLOW MODELS BASED ON LARGE TIME STEP OPERATOR SPLITTING ALGORITHMS focus is posed on the numerical solution algorithms for the saturation equation, which is a convection­ eral background for the reservoir flow model is reviewed, and the main features of the numerical

  1. Real-Time Model-Based Fault Diagnosis for Switching Power Converters

    E-Print Network [OSTI]

    Sanders, Seth

    demonstration for a 1.2 kW rack-level uninterruptable power supply (UPS) dc-dc converter for data center for a 1.2 kW rack- level uninterruptable power supply (UPS) dc-dc converter for data center applicationsReal-Time Model-Based Fault Diagnosis for Switching Power Converters Jason Poon, Ioannis C

  2. Hy-Sim: Model based Hybrid Simulation framework for WSN application development

    E-Print Network [OSTI]

    Hy-Sim: Model based Hybrid Simulation framework for WSN application development Zhen Yu Song a hybrid simulation framework for WSN application development that interconnects a virtual network WSN applications by using high level abstractions which could be used for multi-platform automatic

  3. Model-based analysis and simulation of regenerative heat wheel Zhuang Wu a

    E-Print Network [OSTI]

    Melnik, Roderick

    , which is used in many heat recovery systems. In this paper, a model-based analysis of a rotary Mechanical ventilation with heat recovery systems plays a vital role in securing optimum air quality, thermal heat recovery systems [3]. Such systems have a significant effect on the energy effectiveness

  4. Model-based Chart Image Recognition Weihua Huang, Chew Lim Tan and Wee Kheng Leow

    E-Print Network [OSTI]

    Tan, Chew Lim

    the electronic form of a chart. Currently we concentrate on four commonly used chart types: bar chart, pie chart1 Model-based Chart Image Recognition Weihua Huang, Chew Lim Tan and Wee Kheng Leow SOC, National@comp.nus.edu.sg} Abstract In this paper, we introduce a system that aims at recognizing chart images using a model

  5. Model-Based Bayesian Filtering of Cardiac Contaminants from Biomedical Recordings

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , 38031 Grenoble Cedex, France 2 Biomedical Signal and Image Processing Laboratory (BiSIPL), School for other biomedical signals. In some recent works, a Bayesian filtering framework has been proposedModel-Based Bayesian Filtering of Cardiac Contaminants from Biomedical Recordings R Sameni1,2 , M B

  6. Model-based Control of Automotive Engines and After-treatment Devices

    E-Print Network [OSTI]

    Model-based Control of Automotive Engines and After-treatment Devices N. Petit MINES Paris on automotive vehicle emissions have steadily increased over the last decades, embedded control technology relating to the field of automotive engines. It exposes several milestones that have been identified

  7. Model based methodology development for energy recovery in flash heat exchange systems

    E-Print Network [OSTI]

    McCarthy, John E.

    Model based methodology development for energy recovery in flash heat exchange systems Problem with a condensing heat exchanger can be used when heat exchange is required between two streams and where at leastH, consistency etc.). To increase the efficiency of heat exchange, a cascade of these units in series can be used

  8. Spatio-temporal precipitation modeling based on time-varying regressions Oleg Makhnin

    E-Print Network [OSTI]

    Borchers, Brian

    Spatio-temporal precipitation modeling based on time-varying regressions Oleg Makhnin Department on monthly precipitation data from gauge measurements. The model accounts for orographic effects in northern New Mexico. We assess spatio-temporal variability and also trace the dependence of precipitation

  9. Model-based Estimation of Flexibility and Optionability in an Integrated Real Options Framework

    E-Print Network [OSTI]

    Mikaelian, Tsoline

    Uncertainties can be managed through real options that provide a decision maker the right, but not the obligation, to exercise actions at a later time. In previous work we introduced an integrated real options framework ...

  10. Making Compressed Air System Decisions 

    E-Print Network [OSTI]

    Porri, R. E.

    1996-01-01

    stream_source_info ESL-IE-96-04-32.pdf.txt stream_content_type text/plain stream_size 5121 Content-Encoding ISO-8859-1 stream_name ESL-IE-96-04-32.pdf.txt Content-Type text/plain; charset=ISO-8859-1 MAKING COMPRESSED AIR... SYSTEM DECISIONS Richard E. Porri Product Manager ABSTRACT This paper presents a decision making process that will pennit the design, installation and operation ofa high efficiency and reliable compressed air system. The design of a compressed air...

  11. Initial Decision and Risk Analysis

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-29

    Decision and Risk Analysis capabilities will be developed for industry consideration and possible adoption within Year 1. These tools will provide a methodology for merging qualitative ranking of technology maturity and acknowledged risk contributors with quantitative metrics that drive investment decision processes. Methods and tools will be initially introduced as applications to the A650.1 case study, but modular spreadsheets and analysis routines will be offered to industry collaborators as soon as possible to stimulate user feedback and co-development opportunities.

  12. Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through this architectural uncertainty, it is difficult to define the value proposition of technology investments. This paper proposes a method for evaluating technology across a tradespace defined by architectural decisions. Main

  13. Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries for maximization of energy density

    E-Print Network [OSTI]

    Subramanian, Venkat

    Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries Keywords: Lithium-ion batteries Model-based design Optimization Physics based reformulated model a b s t r for porous electrodes that are commonly used in advanced batteries such as lithium-ion systems. The approach

  14. BFEPM:Best Fit Energy Prediction Modeling Based on CPU Utilization Xiao Zhang, Jianjun Lu, Xiao Qin

    E-Print Network [OSTI]

    Qin, Xiao

    BFEPM:Best Fit Energy Prediction Modeling Based on CPU Utilization Xiao Zhang, Jianjun Lu, Xiao Qin BFEPM, a best fit energy prediction model. It choose best model based on the power consumption benchmark Engineering Auburn University Auburn, AL USA 36849-5347 Email: xqin@auburn.edu Abstract--Energy cost becomes

  15. Using Model-based Intrusion Detection for SCADA Networks Steven Cheung Bruno Dutertre Martin Fong Ulf Lindqvist Keith Skinner

    E-Print Network [OSTI]

    Cheung, Steven

    Using Model-based Intrusion Detection for SCADA Networks Steven Cheung Bruno Dutertre Martin Fong In a model-based intrusion detection approach for protecting SCADA networks, we construct models and a prototype implementation of them for monitoring Modbus TCP networks. Keywords: SCADA security, intrusion

  16. Biased swimming cells do not disperse in pipes as tracers: A population model based on microscale behaviour

    E-Print Network [OSTI]

    Bearon, Rachel

    mask Biomicrofluidics 5, 022204 (2011) Analytical solution on Magnus wind turbine power performanceBiased swimming cells do not disperse in pipes as tracers: A population model based on microscale: A population model based on microscale behaviour R. N. Bearon,1,a) M. A. Bees,2 and O. A. Croze3 1 Department

  17. Journal of Power Sources 162 (2006) 388399 Model-based condition monitoring of PEM fuel cell using

    E-Print Network [OSTI]

    Ding, Yu

    2006-01-01

    Journal of Power Sources 162 (2006) 388­399 Model-based condition monitoring of PEM fuel cell using of polymer electrolyte membrane (PEM) fuel cell systems, temporary faults in such systems still might occur/uncertainty of the fuel cell system, and the measurement noise. In this research, we propose a model-based condition

  18. Stereotactic Body Radiotherapy Versus Surgery for Medically Operable Stage I Non-Small-Cell Lung Cancer: A Markov Model-Based Decision Analysis

    SciTech Connect (OSTI)

    Louie, Alexander V.; Rodrigues, George; Palma, David A.; Cao, Jeffrey Q.; Yaremko, Brian P.; Malthaner, Richard; Mocanu, Joseph D.

    2011-11-15

    Purpose: To compare the quality-adjusted life expectancy and overall survival in patients with Stage I non-small-cell lung cancer (NSCLC) treated with either stereotactic body radiation therapy (SBRT) or surgery. Methods and Materials: We constructed a Markov model to describe health states after either SBRT or lobectomy for Stage I NSCLC for a 5-year time frame. We report various treatment strategy survival outcomes stratified by age, sex, and pack-year history of smoking, and compared these with an external outcome prediction tool (Adjuvant{exclamation_point} Online). Results: Overall survival, cancer-specific survival, and other causes of death as predicted by our model correlated closely with those predicted by the external prediction tool. Overall survival at 5 years as predicted by baseline analysis of our model is in favor of surgery, with a benefit ranging from 2.2% to 3.0% for all cohorts. Mean quality-adjusted life expectancy ranged from 3.28 to 3.78 years after surgery and from 3.35 to 3.87 years for SBRT. The utility threshold for preferring SBRT over surgery was 0.90. Outcomes were sensitive to quality of life, the proportion of local and regional recurrences treated with standard vs. palliative treatments, and the surgery- and SBRT-related mortalities. Conclusions: The role of SBRT in the medically operable patient is yet to be defined. Our model indicates that SBRT may offer comparable overall survival and quality-adjusted life expectancy as compared with surgical resection. Well-powered prospective studies comparing surgery vs. SBRT in early-stage lung cancer are warranted to further investigate the relative survival, quality of life, and cost characteristics of both treatment paradigms.

  19. Investigating online decision-making styles 

    E-Print Network [OSTI]

    Park, Young A

    2009-05-15

    As one of the factors influencing consumers purchase behavior, decision-making styles are crucial for understanding consumer shopping behavior and for developing successful marketing strategies. Decision-making styles have ...

  20. Politically rational foreign policy decision-making 

    E-Print Network [OSTI]

    Kent, Charles Todd

    2006-10-30

    This dissertation is an analysis of how presidents make foreign policy decisions. Rather than explaining foreign policy decisions by focusing on individuals or institutions, I stress the role of political pressures and ...

  1. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

    |Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey

  2. Corporate decision analysis : an engineering approach

    E-Print Network [OSTI]

    Tang, Victor, Ph.D. Massachusetts Institute of Technology

    2006-01-01

    We explore corporate decisions and their solutions under uncertainty using engineering methods. Corporate decisions tend to be complex; they are interdisciplinary and defy programmable solutions. To address these challenges, ...

  3. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01

    American consumers make a number of decisions that significantly impact their energy use. Some of the most important of these decisions were identified and analyzed for the purpose of including them in a Consumer Energy ...

  4. Electricity Generation and Emissions Reduction Decisions

    E-Print Network [OSTI]

    Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General;1 Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General Equilibrium Analysis Jennifer Morris* , Mort Webster* and John Reilly* Abstract The electric power sector, which

  5. Model-Based Validation of QoS Properties of Biomedical Sensor Networks

    E-Print Network [OSTI]

    Yi, Wang

    is supported by EC IST project CREDO. All models for the experiments of this work can be found at http

  6. INL Portal Support

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Supported Browsers The INL Portal supports Internet Explorer 6.0, 7.0; Firefox 1.5, 2.0; and Safari 2.0 (Mac only) browsers. You can download one of the supported browsers from the...

  7. An environmentally sustainable decision model for urban solid waste management

    SciTech Connect (OSTI)

    Costi, P.; Minciardi, R.; Robba, M.; Rovatti, M.; Sacile, R

    2004-07-01

    The aim of this work is to present the structure and the application of a decision support system (DSS) designed to help decision makers of a municipality in the development of incineration, disposal, treatment and recycling integrated programs. Specifically, within a MSW management system, several treatment plants and facilities can generally be found: separators, plants for production of refuse derived fuel (RDF), incinerators with energy recovery, plants for treatment of organic material, and sanitary landfills. The main goal of the DSS is to plan the MSW management, defining the refuse flows that have to be sent to recycling or to different treatment or disposal plants, and suggesting the optimal number, the kinds, and the localization of the plants that have to be active. The DSS is based on a decision model that requires the solution of a constrained non-linear optimization problem, where some decision variables are binary and other ones are continuous. The objective function takes into account all possible economic costs, whereas constraints arise from technical, normative, and environmental issues. Specifically, pollution and impacts, induced by the overall solid waste management system, are considered through the formalization of constraints on incineration emissions and on negative effects produced by disposal or other particular treatments.

  8. Automatic Decision Detection in Meeting Speech 

    E-Print Network [OSTI]

    Hsueh, Pei-Yun; Moore, Johanna D.

    2010-11-01

    are not sufficient for locating decision points from meeting archives. In this paper, we present the AMI DecisionDetector, a system that automatically detects and highlights where the decision-related conversations are. In this paper, we apply the models developed...

  9. Model-Based Control and Optimization of Large Scale Physical Systems -Challenges in Reservoir Engineering

    E-Print Network [OSTI]

    Van den Hof, Paul

    challenge to rationalize the decision processes. With newly developed technology for drilling wells and in- tion phases can be identified. In the primary production phase wells are drilled from the surface. Although this process requires no additional effort than drilling wells, unfortunately only 5

  10. Advanced product realization through model-based design and virtual prototyping

    SciTech Connect (OSTI)

    Andreas, R.D.

    1995-03-01

    Several government agencies and industrial sectors have recognized the need for, and payoff of, investing in the methodologies and associated technologies for improving the product realization process. Within the defense community as well as commercial industry, there are three major needs. First, they must reduce the cost of military products, of related manufacturing processes, and of the enterprises that have to be maintained. Second, they must reduce the time required to realize products while still applying the latest technologies. Finally, they must improve the predictability of process attributes, product performance, cost, schedule and quality. They must continue to advance technology, quickly incorporate their innovations in new products and in processes to produce them, and they need to capitalize on the raw computational power and communications bandwidth that continues to become available at decreasing cost. Sandia National Laboratories initiative is pursuing several interrelated, key concepts and technologies in order to enable such product realization process improvements: model-based design; intelligent manufacturing processes; rapid virtual and physical prototyping; and agile people/enterprises. While progress in each of these areas is necessary, this paper only addresses a portion of the overall initiative. First a vision of a desired future capability in model-based design and virtual prototyping is presented. This is followed by a discussion of two specific activities parametric design analysis of Synthetic Aperture Radars (SARs) and virtual prototyping of miniaturized high-density electronics -- that exemplify the vision as well as provide a status report on relevant work in progress.

  11. Executive decision making processes and outcomes : structure and robustness

    E-Print Network [OSTI]

    Chacon, Vince

    2003-01-01

    Uncertainty in the decision making environment complicates the decision making process because future events may change the effect of a particular decision or series of decisions. This thesis explores the possibility of ...

  12. Comparing Model-based and Design-based Structural Equation Modeling Approaches in Analyzing Complex Survey Data 

    E-Print Network [OSTI]

    Wu, Jiun-Yu

    2011-10-21

    researcher can either use the ad-hoc robust sandwich standard error estimators to correct the standard error estimates (Design-based approach) or perform multilevel analysis to model the multilevel data structure (Model-based approach) to analyze dependent...

  13. A reduced-order model based on proper orthogonal decomposition for non-isothermal two-phase flows 

    E-Print Network [OSTI]

    Richardson, Brian Ross

    2009-05-15

    This thesis presents a study of reduced-order models based on proper orthogonal decomposition applied to non-isothermal transport phenomena in °uidized beds. A numerical °ow solver called Multiphase Flow with Interphase ...

  14. Simulation of human decision making

    DOE Patents [OSTI]

    Forsythe, J. Chris (Sandia Park, NM); Speed, Ann E. (Albuquerque, NM); Jordan, Sabina E. (Albuquerque, NM); Xavier, Patrick G. (Albuquerque, NM)

    2008-05-06

    A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.

  15. GIS Support for Flood Rescue Gengsheng Liang, Darka Mioc

    E-Print Network [OSTI]

    GIS Support for Flood Rescue Gengsheng Liang, Darka Mioc Department of Geodesy and Geomatics@imm.dtu.dk Abstract--Under flood events, the ground traffic is blocked in and around the flooded area due to damages decision for evacuation. In order to provide dynamic road information needed for flood rescue, we developed

  16. APPLICATION FOR USE OF THE UTS LOGO GOVERNANCE SUPPORT UNIT

    E-Print Network [OSTI]

    University of Technology, Sydney

    APPLICATION FOR USE OF THE UTS LOGO GOVERNANCE SUPPORT UNIT Application for use of the UTS logo's decisions on applications are recorded in a register. PURPOSE OF USE The Marketing and Communication Unit (MCU) has developed standard templates for UTS presentations, business cards, letterheads, faculty/unit

  17. Reactor vessel support system

    DOE Patents [OSTI]

    Golden, Martin P. (Trafford, PA); Holley, John C. (McKeesport, PA)

    1982-01-01

    A reactor vessel support system includes a support ring at the reactor top supported through a box ring on a ledge of the reactor containment. The box ring includes an annular space in the center of its cross-section to reduce heat flow and is keyed to the support ledge to transmit seismic forces from the reactor vessel to the containment structure. A coolant channel is provided at the outside circumference of the support ring to supply coolant gas through the keyways to channels between the reactor vessel and support ledge into the containment space.

  18. Linear Model-Based Predictive Control of the LHC 1.8 K Cryogenic Loop

    E-Print Network [OSTI]

    Blanco-Viñuela, E; De Prada-Moraga, C

    1999-01-01

    The LHC accelerator will employ 1800 superconducting magnets (for guidance and focusing of the particle beams) in a pressurized superfluid helium bath at 1.9 K. This temperature is a severely constrained control parameter in order to avoid the transition from the superconducting to the normal state. Cryogenic processes are difficult to regulate due to their highly non-linear physical parameters (heat capacity, thermal conductance, etc.) and undesirable peculiarities like non self-regulating process, inverse response and variable dead time. To reduce the requirements on either temperature sensor or cryogenic system performance, various control strategies have been investigated on a reduced-scale LHC prototype built at CERN (String Test). Model Based Predictive Control (MBPC) is a regulation algorithm based on the explicit use of a process model to forecast the plant output over a certain prediction horizon. This predicted controlled variable is used in an on-line optimization procedure that minimizes an approp...

  19. Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant

    SciTech Connect (OSTI)

    Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

    2012-12-31

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve these two formulations were developed and validated. For a given OSP problem the computation efficiency largely depends on the “size” of the problem. Initially a simplified 1-D gasifier model assuming axial and azimuthal symmetry was used to test out various OSP algorithms. Finally these algorithms were used to design the optimal sensor network for condition monitoring of IGCC gasifier refractory wear and RSC fouling. The sensors type and locations obtained as solution to the OSP problem were validated using model based sensing approach. The OSP algorithm has been developed in a modular form and has been packaged as a software tool for OSP design where a designer can explore various OSP design algorithm is a user friendly way. The OSP software tool is implemented in Matlab/Simulink© in-house. The tool also uses few optimization routines that are freely available on World Wide Web. In addition a modular Extended Kalman Filter (EKF) block has also been developed in Matlab/Simulink© which can be utilized for model based sensing of important process variables that are not directly measured through combining the online sensors with model based estimation once the hardware sensor and their locations has been finalized. The OSP algorithm details and the results of applying these algorithms to obtain optimal sensor location for condition monitoring of gasifier refractory wear and RSC fouling profile are summarized in this final report.

  20. MODEL-BASED HYDROACOUSTIC BLOCKAGE ASSESSMENT AND DEVELOPMENT OF AN EXPLOSIVE SOURCE DATABASE

    SciTech Connect (OSTI)

    Matzel, E; Ramirez, A; Harben, P

    2005-07-11

    We are continuing the development of the Hydroacoustic Blockage Assessment Tool (HABAT) which is designed for use by analysts to predict which hydroacoustic monitoring stations can be used in discrimination analysis for any particular event. The research involves two approaches (1) model-based assessment of blockage, and (2) ground-truth data-based assessment of blockage. The tool presents the analyst with a map of the world, and plots raypath blockages from stations to sources. The analyst inputs source locations and blockage criteria, and the tool returns a list of blockage status from all source locations to all hydroacoustic stations. We are currently using the tool in an assessment of blockage criteria for simple direct-path arrivals. Hydroacoustic data, predominantly from earthquake sources, are read in and assessed for blockage at all available stations. Several measures are taken. First, can the event be observed at a station above background noise? Second, can we establish backazimuth from the station to the source. Third, how large is the decibel drop at one station relative to other stations. These observational results are then compared with model estimates to identify the best set of blockage criteria and used to create a set of blockage maps for each station. The model-based estimates are currently limited by the coarse bathymetry of existing databases and by the limitations inherent in the raytrace method. In collaboration with BBN Inc., the Hydroacoustic Coverage Assessment Model (HydroCAM) that generates the blockage files that serve as input to HABAT, is being extended to include high-resolution bathymetry databases in key areas that increase model-based blockage assessment reliability. An important aspect of this capability is to eventually include reflected T-phases where they reliably occur and to identify the associated reflectors. To assess how well any given hydroacoustic discriminant works in separating earthquake and in-water explosion populations it is necessary to have both a database of reference earthquake events and of reference in-water explosive events. Although reference earthquake events are readily available, explosive reference events are not. Consequently, building an in-water explosion reference database requires the compilation of events from many sources spanning a long period of time. We have developed a database of small implosive and explosive reference events from the 2003 Indian Ocean Cruise data. These events were recorded at some or all of the IMS Indian Ocean hydroacoustic stations: Diego Garcia, Cape Leeuwin, and Crozet Island. We have also reviewed many historical large in-water explosions and identified five that have adequate source information and can be positively associated to the hydrophone recordings. The five events are: Cannekin, Longshot, CHASE-3, CHASE-5, and IITRI-1. Of these, the first two are nuclear tests on land but near water. The latter three are in-water conventional explosive events with yields from ten to hundreds of tons TNT equivalent. The objective of this research is to enhance discrimination capabilities for events located in the world's oceans. Two research and development efforts are needed to achieve this: (1) improvement in discrimination algorithms and their joint statistical application to events, and (2) development of an automated and accurate blockage prediction capability that will identify all stations and phases (direct and reflected) from a given event that will have adequate signal to be used in a discrimination analysis. The strategy for improving blockage prediction in the world's oceans is to improve model-based prediction of blockage and to develop a ground-truth database of reference events to assess blockage. Currently, research is focused on the development of a blockage assessment software tool. The tool is envisioned to develop into a sophisticated and unifying package that optimally and automatically assesses both model and data based blockage predictions in all ocean basins, for all NDC stations, and accounting for refle

  1. Review and model-based analysis of factors influencing soil carbon sequestration beneath switchgrass (Panicum virgatum)

    SciTech Connect (OSTI)

    Garten Jr, Charles T [ORNL

    2012-01-01

    Abstract. A simple, multi-compartment model was developed to predict soil carbon sequestration beneath switchgrass (Panicum virgatum) plantations in the southeastern United States. Soil carbon sequestration is an important component of sustainable switchgrass production for bioenergy because soil organic matter promotes water retention, nutrient supply, and soil properties that minimize erosion. A literature review was included for the purpose of model parameterization and five model-based experiments were conducted to predict how changes in environment (temperature) or crop management (cultivar, fertilization, and harvest efficiency) might affect soil carbon storage and nitrogen losses. Predictions of soil carbon sequestration were most sensitive to changes in annual biomass production, the ratio of belowground to aboveground biomass production, and temperature. Predictions of ecosystem nitrogen loss were most sensitive to changes in annual biomass production, the soil C/N ratio, and nitrogen remobilization efficiency (i.e., nitrogen cycling within the plant). Model-based experiments indicated that 1) soil carbon sequestration can be highly site specific depending on initial soil carbon stocks, temperature, and the amount of annual nitrogen fertilization, 2) response curves describing switchgrass yield as a function of annual nitrogen fertilization were important to model predictions, 3) plant improvements leading to greater belowground partitioning of biomass could increase soil carbon sequestration, 4) improvements in harvest efficiency have no indicated effects on soil carbon and nitrogen, but improve cumulative biomass yield, and 5) plant improvements that reduce organic matter decomposition rates could also increase soil carbon sequestration, even though the latter may not be consistent with desired improvements in plant tissue chemistry to maximize yields of cellulosic ethanol.

  2. Developing shape analysis tools to assist complex spatial decision making

    SciTech Connect (OSTI)

    Mackey, H.E.; Ehler, G.B.; Cowen, D.

    1996-05-31

    The objective of this research was to develop and implement a shape identification measure within a geographic information system, specifically one that incorporates analytical modeling for site location planning. The application that was developed incorporated a location model within a raster-based GIS, which helped address critical performance issues for the decision support system. Binary matrices, which approximate the object`s geometrical form, are passed over the grided data structure and allow identification of irregular and regularly shaped objects. Lastly, the issue of shape rotation is addressed and is resolved by constructing unique matrices corresponding to the object`s orientation

  3. Supported PV module assembly

    SciTech Connect (OSTI)

    Mascolo, Gianluigi; Taggart, David F.; Botkin, Jonathan D.; Edgett, Christopher S.

    2013-10-15

    A supported PV assembly may include a PV module comprising a PV panel and PV module supports including module supports having a support surface supporting the module, a module registration member engaging the PV module to properly position the PV module on the module support, and a mounting element. In some embodiments the PV module registration members engage only the external surfaces of the PV modules at the corners. In some embodiments the assembly includes a wind deflector with ballast secured to a least one of the PV module supports and the wind deflector. An array of the assemblies can be secured to one another at their corners to prevent horizontal separation of the adjacent corners while permitting the PV modules to flex relative to one another so to permit the array of PV modules to follow a contour of the support surface.

  4. Fluor Hanford, Inc. Groundwater and Technical Integration Support (Master Project) Quality Assurance Management Plan

    SciTech Connect (OSTI)

    Fix, N. J.

    2008-02-20

    The scope of the Fluor Hanford, Inc. Groundwater and Technical Integration Support (Master Project) is to provide technical and integration support to Fluor Hanford, Inc., including operable unit investigations at 300-FF-5 and other groundwater operable units, strategic integration, technical integration and assessments, remediation decision support, and science and technology. This Quality Assurance Management Plan provides the quality assurance requirements and processes that will be followed by the Fluor Hanford, Inc. Groundwater and Technical Integration Support (Master Project).

  5. Emergency Medical Support

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21

    This volume defines coordination between emergency planners and emergency medical support. Canceled by DOE G 151.1-4.

  6. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  7. 5(b)/9(c) Record of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Revised Policy on Determining Net Requirements of Pacific Northwest Utility Customers Under Sections 5(b)(1) and 9(c) of the Northwest Power Act Administrator's Record of Decision...

  8. Markov Decision Based Filtering to Prevent Network Instability from Control Plane Poison Messages*

    E-Print Network [OSTI]

    Shayman, Mark A.

    Markov Decision Based Filtering to Prevent Network Instability from Control Plane Poison Messages@research.telcordia.com * Research supported by DARPA under contract N66001-00-C-8037. Abstract: Poison message failure propagation propose a combination of passive diagnosis and active diagnosis to deal with the poison message problem

  9. PROCEEDINGS of the HUMAN FACTORS AND ERGONOMICS SOCIETY 45th ANNUAL MEETING-2001 TESTBED FOR EVALUATING TACTICAL SITUATION AWARENESS AND DECISION

    E-Print Network [OSTI]

    Virginia, University of

    PROCEEDINGS of the HUMAN FACTORS AND ERGONOMICS SOCIETY 45th ANNUAL MEETING- 2001 TESTBED FOR EVALUATING TACTICAL SITUATION AWARENESS AND DECISION MAKING Stephanie Guerlain, Rob Willis, Julie Besselman have developed a testbed for evaluating alternative display concepts and decision support features

  10. A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings

    E-Print Network [OSTI]

    Pillow, Jonathan

    medium, provided the original author and source are credited. Funding: This work was supported by: Royal. There are no patents, products in development or marketed products to declare. This does not alter the authors

  11. Supported microporous ceramic membranes

    DOE Patents [OSTI]

    Webster, Elizabeth (Madison, WI); Anderson, Marc (Madison, WI)

    1993-01-01

    A method for permformation of microporous ceramic membranes onto a porous support includes placing a colloidal suspension of metal or metal oxide particles on one side of the porous support and exposing the other side of the porous support to a drying stream of gas or a reactive gas stream so that the particles are deposited on the drying side of the support as a gel. The gel so deposited can be sintered to form a supported ceramic membrane useful for ultrafiltration, reverse osmosis, or molecular sieving having mean pore sizes less than 100 Angstroms.

  12. Supported microporous ceramic membranes

    DOE Patents [OSTI]

    Webster, E.; Anderson, M.

    1993-12-14

    A method for the formation of microporous ceramic membranes onto a porous support includes placing a colloidal suspension of metal or metal oxide particles on one side of the porous support and exposing the other side of the porous support to a drying stream of gas or a reactive gas stream so that the particles are deposited on the drying side of the support as a gel. The gel so deposited can be sintered to form a supported ceramic membrane useful for ultrafiltration, reverse osmosis, or molecular sieving having mean pore sizes less than 100 Angstroms. 4 figures.

  13. Achieving Robustness to Uncertainty for Financial Decision-making

    SciTech Connect (OSTI)

    Barnum, George M.; Van Buren, Kendra L.; Hemez, Francois M.; Song, Peter

    2014-01-10

    This report investigates the concept of robustness analysis to support financial decision-making. Financial models, that forecast future stock returns or market conditions, depend on assumptions that might be unwarranted and variables that might exhibit large fluctuations from their last-known values. The analysis of robustness explores these sources of uncertainty, and recommends model settings such that the forecasts used for decision-making are as insensitive as possible to the uncertainty. A proof-of-concept is presented with the Capital Asset Pricing Model. The robustness of model predictions is assessed using info-gap decision theory. Info-gaps are models of uncertainty that express the “distance,” or gap of information, between what is known and what needs to be known in order to support the decision. The analysis yields a description of worst-case stock returns as a function of increasing gaps in our knowledge. The analyst can then decide on the best course of action by trading-off worst-case performance with “risk”, which is how much uncertainty they think needs to be accommodated in the future. The report also discusses the Graphical User Interface, developed using the MATLAB® programming environment, such that the user can control the analysis through an easy-to-navigate interface. Three directions of future work are identified to enhance the present software. First, the code should be re-written using the Python scientific programming software. This change will achieve greater cross-platform compatibility, better portability, allow for a more professional appearance, and render it independent from a commercial license, which MATLAB® requires. Second, a capability should be developed to allow users to quickly implement and analyze their own models. This will facilitate application of the software to the evaluation of proprietary financial models. The third enhancement proposed is to add the ability to evaluate multiple models simultaneously. When two models reflect past data with similar accuracy, the more robust of the two is preferable for decision-making because its predictions are, by definition, less sensitive to the uncertainty.

  14. Algorithmic Decision Theory and the Smart Grid

    E-Print Network [OSTI]

    surmount concomitant challenges: -Interoperating/distributed decision makers and decision-making devices. of Energy to the SIAM Science Policy Committee, October 2009. ·Others benefit from a presentation by Massoud ·Today's electric power systems have grown up incrementally and haphazardly ­ they were not designed from

  15. Phase Transition Behavior: from Decision to Optimization

    E-Print Network [OSTI]

    Walsh, Toby

    Phase Transition Behavior: from Decision to Optimization John Slaney Australian National University, therefore, that insights into decision problems gained by studying phase transition behavior could be useful is a rapid increase in problem diÆculty. The random 2-Sat transition is continuous (or \\2nd order

  16. Evaluation of information bundles in engineering decisions 

    E-Print Network [OSTI]

    Bakir, Niyazi Onur

    2004-11-15

    problems. In static insurance decisions, we analyze the case where the decision maker gathers information about the severity of the risk events and perform ranking of information bundles in a speci?c class. In dynamic insurance problems, we make a...

  17. Decision under uncertainty with limited information

    E-Print Network [OSTI]

    Nikolaidis, Efstratios

    own land in oil rich region · Can sell it for $18,500 or drill · Drilling costs $70,000 · If no oil and countries depends on the ability of their leaders to make good decisions. #12;4 Example Drill for oil · You is found land becomes worthless · Sell or drill? #12;5 Decision tree: Graphical representation of sequence

  18. Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint

    SciTech Connect (OSTI)

    Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

    2010-12-01

    Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

  19. Experimental studies of helical solenoid model based on YBCO tape-bridge joints

    SciTech Connect (OSTI)

    Yu, M.; Lombardo, V.; Turrioni, D.; Zlobin, A.V.; Flangan, G.; Lopes, M.L.; Johnson, R.P.; /Fermilab

    2011-06-01

    Helical solenoids that provide solenoid, helical dipole and helical gradient field components are designed for a helical cooling channel (HCC) proposed for cooling of muon beams in a muon collider. The high temperature superconductor (HTS), 12 mm wide and 0.1 mm thick YBCO tape, is used as the conductor for the highest-field section of HCC due to certain advantages, such as its electrical and mechanical properties. To study and address the design, and technological and performance issues related to magnets based on YBCO tapes, a short helical solenoid model based on double-pancake coils was designed, fabricated and tested at Fermilab. Splicing joints were made with Sn-Pb solder as the power leads and the connection between coils, which is the most critical element in the magnet that can limit the performance significantly. This paper summarizes the test results of YBCO tape and double-pancake coils in liquid nitrogen and liquid helium, and then focuses on the study of YBCO splices, including the soldering temperatures and pressures, and splice bending test.

  20. Decision making under uncertainty: An investigation into the application of formal decision-making methods to safety issue decisions

    SciTech Connect (OSTI)

    Bohn, M P [Sandia National Labs., Albuquerque, NM (United States)] [Sandia National Labs., Albuquerque, NM (United States)

    1992-12-01

    As part of the NRC-sponsored program to study the implications of Generic Issue 57, Effects of Fire Protection System Actuation on Safety-Related Equipment,'' a subtask was performed to evaluate the applicability of formal decision analysis methods to generic issues cost/benefit-type decisions and to apply these methods to the GI-57 results. In this report, the numerical results obtained from the analysis of three plants (two PWRs and one BWR) as developed in the technical resolution program for GI-57 were studied. For each plant, these results included a calculation of the person-REM averted due to various accident scenarios and various proposed modifications to mitigate the accident scenarios identified. These results were recomputed to break out the benefit in terms of contributions due to random event scenarios, fire event scenarios, and seismic event scenarios. Furthermore, the benefits associated with risk (in terms of person-REM) averted from earthquakes at three different seismic ground motion levels were separately considered. Given this data, formal decision methodologies involving decision trees, value functions, and utility functions were applied to this basic data. It is shown that the formal decision methodology can be applied at several different levels. Examples are given in which the decision between several retrofits is changed from that resulting from a simple cost/benefit-ratio criterion by virtue of the decision-makinger's expressed (and assumed) preferences.

  1. Cryogenic support system

    DOE Patents [OSTI]

    Nicol, T.H.; Niemann, R.C.; Gonczy, J.D.

    1988-11-01

    A support system is disclosed for restraining large masses at very low or cryogenic temperatures. The support system employs a tie bar that is pivotally connected at opposite ends to an anchoring support member and a sliding support member. The tie bar extends substantially parallel to the longitudinal axis of the cold mass assembly, and comprises a rod that lengthens when cooled and a pair of end attachments that contract when cooled. The rod and end attachments are sized so that when the tie bar is cooled to cryogenic temperature, the net change in tie bar length is approximately zero. Longitudinal force directed against the cold mass assembly is distributed by the tie bar between the anchoring support member and the sliding support member. 7 figs.

  2. Model-Based Diagnostics for Air-Handling Units Salsbury and Diamond 1 ModelModel--Based Diagnostics for Air Handling UnitsBased Diagnostics for Air Handling Units

    E-Print Network [OSTI]

    -Based Diagnostics for Air-Handling Units ­ Salsbury and Diamond 1 ModelModel--Based Diagnostics for Air Handling UnitsBased Diagnostics for Air Handling Units Tim Salsbury and Rick Diamond Lawrence Berkeley National Laboratory Berkeley, CA 94720 Introduction In most large air-conditioned buildings, air-handling units

  3. Crystalline titanate catalyst supports

    DOE Patents [OSTI]

    Anthony, R.G.; Dosch, R.G.

    1993-01-05

    A series of new crystalline titanates (CT) are shown to have considerable potential as catalyst supports. For Pd supported catalyst, the catalytic activity for pyrene hydrogenation was substantially different depending on the type of CT, and one was substantially more active than Pd on hydrous titanium oxide (HTO). For 1-hexene hydrogenation the activities of the new CTs were approximately the same as for the hydrous metal oxide supports.

  4. Conduction cooled tube supports

    DOE Patents [OSTI]

    Worley, Arthur C. (Mt. Tabor, NJ); Becht, IV, Charles (Morristown, NJ)

    1984-01-01

    In boilers, process tubes are suspended by means of support studs that are in thermal contact with and attached to the metal roof casing of the boiler and the upper bend portions of the process tubes. The support studs are sufficiently short that when the boiler is in use, the support studs are cooled by conduction of heat to the process tubes and the roof casing thereby maintaining the temperature of the stud so that it does not exceed 1400.degree. F.

  5. SkyHunter: A Multi-Surface Environment for Supporting Oil and Gas Exploration

    E-Print Network [OSTI]

    Maurer, Frank

    SkyHunter: A Multi-Surface Environment for Supporting Oil and Gas Exploration Teddy Seyed, Mario}@ucalgary.ca ABSTRACT The process of oil and gas exploration and its result, the decision to drill for oil in a specific show in this paper, many of the existing technologies and practices that support the oil and gas

  6. FAB Support Page

    E-Print Network [OSTI]

    Functional Analysis Basics (FAB) Seminar Support Page Fall 2014: Meets TBA. Suggestions for FAB ... Hours: by appointment. Back to Carl Cowen's Home Page

  7. Detector Support Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    browser. Concerns? Hall B Navigation DSG Home Staff Presentations Notes print version Detector Support Group Spotlight Archive Index Rotation test for the SVT detector EPICS...

  8. The Internet of Decisions There is a need to change from systems thinking to infrastructural thinking about decision

    E-Print Network [OSTI]

    Bisdorff, Raymond

    decision fusion and aiding methodologies especially for spatial data handling, and easily scalable, Internet, Decision Fusion, Decision Making and Aiding Practice, Multiple Criteria Decision Aid, Decision Star et al. (1996) and Edwards et al. (2007) we may recognize that DSSI emerges as: an embodiment

  9. Effective Design And Use Of Computer Decision Models.

    E-Print Network [OSTI]

    Fuerst, William L.

    1984-03-01

    of decision models such as simulation have not been demonstrated. This paper looks at recent literature regarding decision model deficiencies, evaluates selected financial simulation model packages, and suggests design needs for expanding the use of decision...

  10. EIS-0473: Record of Decision | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    EIS-0473: Record of Decision EIS-0473: Record of Decision W.A. Parish Post-Combustion CO2 Capture and Sequestration Project, Fort Bend County, Texas DOE announces its decision to...

  11. Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi, Viktor Prasanna

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    oilfields are characterized with heterogeneous data and resources, com- plicated business processesTowards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi- duction has led to an industry-wide push to develop smart oilfields for the future. Applications for smart

  12. Model-Based Testing of Infotainment Systems on the Basis of a Graphical Human-Machine Interface

    E-Print Network [OSTI]

    have to spend a lot of time for defining tests and adapting existing tests for different system variants and software updates. Test executors have to execute the defined tests step by step manuallyModel-Based Testing of Infotainment Systems on the Basis of a Graphical Human-Machine Interface

  13. Model-based Thermal Anomaly Detection in Cloud Datacenters Eun Kyung Lee, Hariharasudhan Viswanathan, and Dario Pompili

    E-Print Network [OSTI]

    Pompili, Dario

    Model-based Thermal Anomaly Detection in Cloud Datacenters Eun Kyung Lee, Hariharasudhan datacenters make them prone to strategic attacks, misconfigurations, and failures (cooling as well) and observed thermal maps (obtained using thermal cameras) of datacenters is proposed. In addition, a Thermal

  14. A Model-Based Design of Cyber-Physical Energy Systems Mohammad Abdullah Al Faruque, Fereidoun Ahourai

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

    ]. However, the introduction of Distributed Energy Resources (DERs) including renewable sources, and newA Model-Based Design of Cyber-Physical Energy Systems Mohammad Abdullah Al Faruque, Fereidoun, CA, USA Email: {alfaruqu, fahourai}@uci.edu Abstract-- Cyber-Physical Energy Systems (CPES

  15. To appear in the ACM APGV 2007 symposium proceedings Hybrid Image-/Model-Based Gaze-Contingent Rendering

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    /Image Generation--Display algorithms; I.3.6 [Computer Graphics]: Methodology and Techniques--Ergonomics; Keywords are the development and experimen- tal evaluation of a hybrid image-/model-based nonisotropic gaze- contingent on modern pro- grammable GPUs. The evaluation takes the form of a human sub- ject experiment involving

  16. Model-Based Control of Nonlinear Systems Subject to Sensor Data Losses: A Chemical Process Case Study

    E-Print Network [OSTI]

    Sontag, Eduardo

    Model-Based Control of Nonlinear Systems Subject to Sensor Data Losses: A Chemical Process Case, Los Angeles, CA 90095-1592, USA, davidmps@ucla.edu, pdc@seas.ucla.edu. Controller Process x Data feedback control of nonlinear uncertain systems subject to sensor data losses. We compare three different

  17. Model-Based Performance Risk Analysis Vittorio Cortellessa, Katerina Goseva-Popstojanova, Senior Member, IEEE, Kalaivani Appukkutty,

    E-Print Network [OSTI]

    Goseva-Popstojanova, Katerina

    Model-Based Performance Risk Analysis Vittorio Cortellessa, Katerina Goseva-Popstojanova, Senior such type of risk analysis. Finally, we introduce a methodology to obtain, from annotated Sequence Diagrams introduces the basic concepts of risk analysis along with an overview of the related work. In Section 3, we

  18. International Journal of Web Services Research, Vol.2, No.2, 2005 Model-based development of Web service descriptions

    E-Print Network [OSTI]

    Heckel, Reiko

    International Journal of Web Services Research, Vol.2, No.2, 2005 1 Model-based development of Web, Web services promise to enable the formation of ad-hoc cooperations on a global scale. From the automated integration of Web services. A suitable technology for Web services has to mediate these needs

  19. Efficient model-based leak detection in boiler steam-water systems Xi Sun, Tongwen Chen *, Horacio J. Marquez

    E-Print Network [OSTI]

    Marquez, Horacio J.

    Efficient model-based leak detection in boiler steam-water systems Xi Sun, Tongwen Chen *, Horacio detection in boiler steam-water systems. The algorithm has been tested using real industrial data from Syncrude Canada, and has proven to be effective in detection of boiler tube or steam leaks; proper

  20. Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas

    E-Print Network [OSTI]

    Subramanian, Venkat

    Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using]. Besides physical and chemical methods for sequestration of CO2 from flue gas [2], microalgae culture holds great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficiently

  1. NuDE 2.0: A Model-based Software Development Environment for the PLC & FPGA based Digital

    E-Print Network [OSTI]

    , such as RPS (Reactor Protection System) and ESF-CCS (Engineered Safety Features - Components Control System in Nuclear Power Plants Junbeom Yoo , Eui-Sub Kim , Dong-Ah Lee Computer Science and Enginering Konkuk426, jslee}@kaeri.re.kr Abstract--NuDE 2.0 (Nuclear Development Environment) is a model-based software

  2. Model Based Object Recognition by Robust Information Fusion Haifeng Chen (1) Ilan Shimshoni (2) Peter Meer (1)

    E-Print Network [OSTI]

    Model Based Object Recognition by Robust Information Fusion Haifeng Chen (1) Ilan Shimshoni (2 on robust information fusion is put forward in this paper. In this algorithm, the property of probabilistic fusion technique that is based on the non­ parametric mode search method, mean shift, is proposed

  3. ghMulti-Level Approach for Model-Based Predictive Control (MPC) in Buildings: A Preliminary Overview 

    E-Print Network [OSTI]

    Candanedo, J. A.; Dehkordi, V. R.

    2013-01-01

    Model-based predictive control (MPC) has emerged in recent years as a promising approach to building operation. MPC uses models of the system(s) under control -and knowledge about future disturbances- to select an optimal set of actions. Despite its...

  4. 40 IEEE TRANSACTIONS ON ROBOTICS, VOL. 31, NO. 1, FEBRUARY 2015 Model-Based Development of Leaping

    E-Print Network [OSTI]

    Lin, Pei-Chun

    in a Hexapod Robot Ya-Cheng Chou, Ke-Jung Huang, Wei-Shun Yu, and Pei-Chun Lin, Member, IEEE Abstract--We report on the model-based development of leap- ing behavior in a RHex-style hexapod robot. A three, hexapod, leaping, three-leg model. I. INTRODUCTION LEAPING is one of the unique behaviors performed

  5. A Case Study on the Model-Based Design and Integration of Automotive Cyber-Physical Systems

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    A Case Study on the Model-Based Design and Integration of Automotive Cyber-Physical Systems Di--Cyber-physical systems (CPS), such as automotive systems, are very difficult to design due to the tight interactions of an integrated automotive control system. The system is composed of two independently designed controllers

  6. US EPA record of decision review for landfills: Sanitary landfill (740-G), Savannah River Site

    SciTech Connect (OSTI)

    Not Available

    1993-06-01

    This report presents the results of a review of the US Environmental Protection Agency (EPA) Record of Decision System (RODS) database search conducted to identify Superfund landfill sites where a Record of Decision (ROD) has been prepared by EPA, the States or the US Army Corps of Engineers describing the selected remedy at the site. ROD abstracts from the database were reviewed to identify site information including site type, contaminants of concern, components of the selected remedy, and cleanup goals. Only RODs from landfill sites were evaluated so that the results of the analysis can be used to support the remedy selection process for the Sanitary Landfill at the Savannah River Site (SRS).

  7. Nanostructured catalyst supports

    DOE Patents [OSTI]

    Zhu, Yimin; Goldman, Jay L.; Qian, Baixin; Stefan, Ionel C.

    2012-10-02

    The present invention relates to SiC nanostructures, including SiC nanopowder, SiC nanowires, and composites of SiC nanopowder and nanowires, which can be used as catalyst supports in membrane electrode assemblies and in fuel cells. The present invention also relates to composite catalyst supports comprising nanopowder and one or more inorganic nanowires for a membrane electrode assembly.

  8. Model based approach to UXO imaging using the time domain electromagnetic method

    SciTech Connect (OSTI)

    Lavely, E.M.

    1999-04-01

    Time domain electromagnetic (TDEM) sensors have emerged as a field-worthy technology for UXO detection in a variety of geological and environmental settings. This success has been achieved with commercial equipment that was not optimized for UXO detection and discrimination. The TDEM response displays a rich spatial and temporal behavior which is not currently utilized. Therefore, in this paper the author describes a research program for enhancing the effectiveness of the TDEM method for UXO detection and imaging. Fundamental research is required in at least three major areas: (a) model based imaging capability i.e. the forward and inverse problem, (b) detector modeling and instrument design, and (c) target recognition and discrimination algorithms. These research problems are coupled and demand a unified treatment. For example: (1) the inverse solution depends on solution of the forward problem and knowledge of the instrument response; (2) instrument design with improved diagnostic power requires forward and inverse modeling capability; and (3) improved target recognition algorithms (such as neural nets) must be trained with data collected from the new instrument and with synthetic data computed using the forward model. Further, the design of the appropriate input and output layers of the net will be informed by the results of the forward and inverse modeling. A more fully developed model of the TDEM response would enable the joint inversion of data collected from multiple sensors (e.g., TDEM sensors and magnetometers). Finally, the author suggests that a complementary approach to joint inversions is the statistical recombination of data using principal component analysis. The decomposition into principal components is useful since the first principal component contains those features that are most strongly correlated from image to image.

  9. Integrated Experimental and Model-based Analysis Reveals the Spatial Aspects of EGFR Activation Dynamics

    SciTech Connect (OSTI)

    Shankaran, Harish; Zhang, Yi; Chrisler, William B.; Ewald, Jonathan A.; Wiley, H. S.; Resat, Haluk

    2012-10-02

    The epidermal growth factor receptor (EGFR) belongs to the ErbB family of receptor tyrosine kinases, and controls a diverse set of cellular responses relevant to development and tumorigenesis. ErbB activation is a complex process involving receptor-ligand binding, receptor dimerization, phosphorylation, and trafficking (internalization, recycling and degradation), which together dictate the spatio-temporal distribution of active receptors within the cell. The ability to predict this distribution, and elucidation of the factors regulating it, would help to establish a mechanistic link between ErbB expression levels and the cellular response. Towards this end, we constructed mathematical models for deconvolving the contributions of receptor dimerization and phosphorylation to EGFR activation, and to examine the dependence of these processes on sub-cellular location. We collected experimental datasets for EGFR activation dynamics in human mammary epithelial cells, with the specific goal of model parameterization, and used the data to estimate parameters for several alternate models. Model-based analysis indicated that: 1) signal termination via receptor dephosphorylation in late endosomes, prior to degradation, is an important component of the response, 2) less than 40% of the receptors in the cell are phosphorylated at any given time, even at saturating ligand doses, and 3) receptor dephosphorylation rates at the cell surface and early endosomes are comparable. We validated the last finding by measuring EGFR dephosphorylation rates at various times following ligand addition both in whole cells, and in endosomes using ELISAs and fluorescent imaging. Overall, our results provide important information on how EGFR phosphorylation levels are regulated within cells. Further, the mathematical model described here can be extended to determine receptor dimer abundances in cells co-expressing various levels of ErbB receptors. This study demonstrates that an iterative cycle of experiments and modeling can be used to gain mechanistic insight regarding complex cell signaling networks.

  10. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, James E. (Simi Valley, CA)

    1987-01-01

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances.

  11. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, J.E.

    1987-08-25

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source is disclosed. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances. 4 figs.

  12. DOE Secretarial Memorandum on Improved Decision Making through...

    Office of Environmental Management (EM)

    Decision Making through the Integration of Program and Project Management with National Environmental Policy Act Compliance DOE Secretarial Memorandum on Improved Decision Making...

  13. Reduction of Transient Particulate Matter Spikes with Decision...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Transient Particulate Matter Spikes with Decision Tree Based Control Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control Using a non-parametric...

  14. Risk Analysis and Decision-Making Under Uncertainty: A Strategy...

    Office of Environmental Management (EM)

    Risk Analysis and Decision-Making Under Uncertainty: A Strategy and its Applications Risk Analysis and Decision-Making Under Uncertainty: A Strategy and its Applications Ming Ye...

  15. Statement from Energy Secretary Bodman on OPEC's Decision to...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Statement from Energy Secretary Bodman on OPEC's Decision to Cut Crude Oil Production Statement from Energy Secretary Bodman on OPEC's Decision to Cut Crude Oil Production October...

  16. Procuring Solar Energy: A Guide for Federal Facility Decision...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Procuring Solar Energy: A Guide for Federal Facility Decision Makers, Appendix B, September 2010 Procuring Solar Energy: A Guide for Federal Facility Decision Makers, Appendix B,...

  17. Record of Decision for the Uranium Leasing Program Programmatic...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact Statement Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact...

  18. Cellular Decision Making and Biological Noise: From Microbes to Mammals

    E-Print Network [OSTI]

    Balazsi, Gabor

    Cellular decision making is the process whereby cells assume different, functionally important and heritable fates without an associated genetic or environmental difference. Such stochastic cell fate decisions generate ...

  19. Assessment of New Approaches in Geothermal Exploration Decision...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    approaches were investigated to develop a best-practices methodology for objective geothermal exploration decision making at a given location, including gono-go decision points...

  20. 15.060 Data, Models, and Decisions, Fall 2002

    E-Print Network [OSTI]

    Freund, Robert Michael

    Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, ...

  1. Probabilistic Modeling and Phase 2 Decision Making at the West...

    Office of Environmental Management (EM)

    and Phase 2 Decision Making at the West Valley Demonstration Project and the Western New York Nuclear Service Center Probabilistic Modeling and Phase 2 Decision Making at the...

  2. Preferences, Information, and Group Decision Making 

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of ...

  3. Engineering Advancement Trust 2012 Funding Decisions

    E-Print Network [OSTI]

    Saskatchewan, University of

    Engineering Advancement Trust 2012 Funding Decisions Prepared The College of Engineering is committed to ensuring the quality of our undergraduate programs. The generous contributions from alumni into the Engineering Advancement Trust (EAT) continue

  4. Management decisions for cogeneration : executive summary

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01

    This report summarizes two interdependent studies which explore the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. They employ ...

  5. Management decisions for cogeneration : a survey analysis

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01

    This study explores the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. It employs alpha factor analysis techniques to develop ...

  6. Management Forecast Quality and Capital Investment Decisions

    E-Print Network [OSTI]

    Goodman, Theodore H.

    Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

  7. Technology and public participation in environmental decisions

    E-Print Network [OSTI]

    Yao, Basilia Wang

    2006-01-01

    Since 1970, the National Environmental Policy Act (NEPA) has served as the main instrument for analyzing the environmental impacts of federal agency decisions and providing the public with opportunities to participate in ...

  8. Information, decision-making and health

    E-Print Network [OSTI]

    Abaluck, Jason T

    2011-01-01

    This thesis consists of three essays on information, decision-making and health. All three concern the relationship between the choices consumers would make if they were "fully informed" in an appropriate sense and the ...

  9. Rock Slopes from Mechanics to Decision Making

    E-Print Network [OSTI]

    Einstein, Herbert H.

    Rock slope instabilities are discussed in the context of decision making for risk assessment and management. Hence, the state of the slope and possible failure mechanism need to be defined first. This is done with geometrical ...

  10. Parallel object-oriented decision tree system

    DOE Patents [OSTI]

    Kamath; Chandrika (Dublin, CA), Cantu-Paz; Erick (Oakland, CA)

    2006-02-28

    A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.

  11. Decision analysis for seismic retrofit of structures 

    E-Print Network [OSTI]

    Williams, Ryan J.

    2009-05-15

    as well as the seismic hazard at a specific building location is incorporated into the decision-making process. The prescribed methodology is used to study two identical reinforced concrete buildings, one located in Memphis, Tennessee and one in San... in the NMFZ compared to that in California as well as human bias in the decision-making process, a quantitative measure of the economic costs and benefits of seismic retrofitting that considers the probability of occurrence of seismic events is necessary...

  12. Supporting Organizations | Nuclear Science | ORNL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nuclear Science Engineering Fusion & Materials for Nuclear Systems Nuclear Science Home | Science & Discovery | Nuclear Science | Supporting Organizations SHARE Supporting...

  13. Supported inorganic membranes

    DOE Patents [OSTI]

    Sehgal, Rakesh (Albuquerque, NM); Brinker, Charles Jeffrey (Albuquerque, NM)

    1998-01-01

    Supported inorganic membranes capable of molecular sieving, and methods for their production, are provided. The subject membranes exhibit high flux and high selectivity. The subject membranes are substantially defect free and less than about 100 nm thick. The pores of the subject membranes have an average critical pore radius of less than about 5 .ANG., and have a narrow pore size distribution. The subject membranes are prepared by coating a porous substrate with a polymeric sol, preferably under conditions of low relative pressure of the liquid constituents of the sol. The coated substrate is dried and calcined to produce the subject supported membrane. Also provided are methods of derivatizing the surface of supported inorganic membranes with metal alkoxides. The subject membranes find use in a variety of applications, such as the separation of constituents of gaseous streams, as catalysts and catalyst supports, and the like.

  14. Chromatography resin support

    DOE Patents [OSTI]

    Dobos, James G. (North Augusta, SC)

    2002-01-01

    An apparatus and method of using an improved chromatography resin support is disclosed. The chromatography support platform is provided by a stainless steel hollow cylinder adapted for being inserted into a chromatography column. An exterior wall of the stainless steel cylinder defines a groove for carrying therein an "O"-ring. The upper surface of the stainless steel column is covered by a fine stainless steel mesh welded to the edges of the stainless steel cylinder. When placed upon a receiving ledge defined within a chromatography column, the "O"-ring provides a fluid tight seal with the inner edge wall of the chromatography cylinder. The stainless steel mesh supports the chromatography matrix and provides a back flushable support which is economical and simple to construct.

  15. SAE Standards Support

    SciTech Connect (OSTI)

    Gowri, Krishnan

    2012-11-01

    This report summarizes PNNL activities in FY 2012 in support of the following two vehicle communication standards activities: • Technical support to SAE, ANSI and NIST technical working groups. PNNL actively contributed to the use case development, harmonization, and evaluation of the SAE standards activities for vehicle to grid communication • Tested and validated a set of potential technologies for meeting SAE communication requirements and provided recommendations for technology choices.

  16. Cognitive skill training for nuclear power plant operational decision making

    SciTech Connect (OSTI)

    Mumaw, R.J.; Swatzler, D.; Roth, E.M. [Westinghouse Electric Corp., Pittsburgh, PA (United States); Thomas, W.A. [Quantum Technologies, Inc., Oak Brook, IL (United States)

    1994-06-01

    Training for operator and other technical positions in the commercial nuclear power industry traditionally has focused on mastery of the formal procedures used to control plant systems and processes. However, decisionmaking tasks required of nuclear power plant operators involve cognitive skills (e.g., situation assessment, planning). Cognitive skills are needed in situations where formal procedures may not exist or may not be as prescriptive, as is the case in severe accident management (SAM). The Westinghouse research team investigated the potential cognitive demands of SAM on the control room operators and Technical Support Center staff who would be most involved in the selection and execution of severe accident control actions. A model of decision making, organized around six general cognitive processes, was developed to identify the types of cognitive skills that may be needed for effective performance. Also, twelve SAM scenarios were developed to reveal specific decision-making difficulties. Following the identification of relevant cognitive skills, 19 approaches for training individual and team cognitive skills were identified. A review of these approaches resulted in the identification of general characteristics that are important in effective training of cognitive skills.

  17. Computer Science and Decision Theory Fred S. Roberts 1

    E-Print Network [OSTI]

    Computer Science and Decision Theory Fred S. Roberts 1 DIMACS Center, Rutgers University in the social and decision sciences of newer decision-theoretic methods developed with computer science applications in mind. The paper deals with the relation between computer science and decision-theoretic methods

  18. Summary of Decisions- July 30 – August 3, 2012

    Broader source: Energy.gov [DOE]

    Decisions were issued on: - Freedom of Information Act Appeal - Personnel Security (10 CFR Part 710)

  19. Illuminating the Decision Path: The Yucca Mountain Site Recommendation

    SciTech Connect (OSTI)

    Knox, E.; Slothouber, L.

    2003-02-25

    On February 14, 2002, U.S. Secretary of Energy Spencer Abraham provided to the President the ''Recommendation by the Secretary of Energy Regarding the Suitability of the Yucca Mountain Site for a Repository Under the Nuclear Waste Policy Act of 1982.'' This Recommendation, along with supporting materials, complied with statutory requirements for communicating a site recommendation to the President, and it did more: in 49 pages, the Recommendation also spoke directly to the Nation, illuminating the methodology and considerations that led toward the decision to recommend the site. Addressing technical suitability, national interests, and public concerns, the Recommendation helped the public understand the potential risks and benefits of repository development and placed those risks and benefits in a meaningful national context.

  20. Evaluation of metal artifacts in MVCT systems using a model based correction method

    SciTech Connect (OSTI)

    Paudel, M. R.; Mackenzie, M.; Fallone, B. G.; Rathee, S. [Department of Oncology, Medical Physics Division, University of Alberta, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada); Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada) and Department of Oncology, Medical Physics Division, University of Alberta, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada); Department of Physics, University of Alberta, 11322-89 Avenue, Edmonton, Alberta T6G 2G7 (Canada); Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada) and Department of Oncology, Medical Physics Division, University of Alberta, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada); Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada) and Department of Oncology, Medical Physics Division, University of Alberta, 11560 University Avenue, Edmonton, Alberta T6G 1Z2 (Canada)

    2012-10-15

    Purpose: To evaluate the performance of a model based image reconstruction method in reducing metal artifacts in the megavoltage computed tomography (MVCT) images of a phantom representing bilateral hip prostheses and to compare with the filtered-backprojection (FBP) technique. Methods: An iterative maximum likelihood polychromatic algorithm for CT (IMPACT) is used with an additional model for the pair/triplet production process and the energy dependent response of the detectors. The beam spectra for an in-house bench-top and TomoTherapy Trade-Mark-Sign MVCTs are modeled for use in IMPACT. The empirical energy dependent response of detectors is calculated using a constrained optimization technique that predicts the measured attenuation of the beam by various thicknesses (0-24 cm) of solid water slabs. A cylindrical (19.1 cm diameter) plexiglass phantom containing various cylindrical inserts of relative electron densities 0.295-1.695 positioned between two steel rods (2.7 cm diameter) is scanned in the bench-top MVCT that utilizes the bremsstrahlung radiation from a 6 MeV electron beam passed through 4 cm solid water on the Varian Clinac 2300C and in the imaging beam of the TomoTherapy Trade-Mark-Sign MVCT. The FBP technique in bench-top MVCT reconstructs images from raw signal normalized to air scan and corrected for beam hardening using a uniform plexiglass cylinder (20 cm diameter). The IMPACT starts with a FBP reconstructed seed image and reconstructs the final image in 150 iterations. Results: In both MVCTs, FBP produces visible dark shading in the image connecting the steel rods. In the IMPACT reconstructed images this shading is nearly removed and the uniform background is restored. The average attenuation coefficients of the inserts and the background are very close to the corresponding values in the absence of the steel inserts. In the FBP images of the bench-top MVCT, the shading causes 4%-9.5% underestimation of electron density at the central inserts with an average of (6.3 {+-} 1.8)% for the range of electron densities studied. In the uniform plexiglass background, the shadow creates 0.8%-4.7% underestimation of electron density with an average of (2.9 {+-} 1.2)%. In the corresponding IMPACT images, the underestimation in the shaded plexiglass background is 0.3%-1.8% with an average of (0.9 {+-} 0.5)% and 1.4%-6.8% with an average of (2.8 {+-} 2.7)% in the central insert region. In the FBP images of the TomoTherapy Trade-Mark-Sign MVCT, this shading creates 2.6%-6.7% underestimation of electron density with an average of (3.7 {+-} 1.4)% at the central inserts and 5.9%-7.2% underestimation in the background with an average of (6.4 {+-} 0.5)%. In the IMPACT images, the uniform background between the steel rods is restored with 0.3%-1.0% underestimation of electron density with an average of (0.7 {+-} 0.3)%. The corresponding underestimation at the central inserts of the IMPACT images is -0.4%-0.1% with an average of (-0.1 {+-} 0.2)%. Conclusions: The shading metal artifact has been nearly removed in MVCT images using the IMPACT algorithm with the accurate geometry of the system, proper modeling of energy dependent response of detectors, and all relevant photon interaction processes. This results less than 1% difference in electron density in the background plexiglass and less than 3% averaged over the range of electron densities investigated.

  1. Statistical model based iterative reconstruction (MBIR) in clinical CT systems: Experimental assessment of noise performance

    SciTech Connect (OSTI)

    Li, Ke; Tang, Jie; Chen, Guang-Hong

    2014-04-15

    Purpose: To reduce radiation dose in CT imaging, the statistical model based iterative reconstruction (MBIR) method has been introduced for clinical use. Based on the principle of MBIR and its nonlinear nature, the noise performance of MBIR is expected to be different from that of the well-understood filtered backprojection (FBP) reconstruction method. The purpose of this work is to experimentally assess the unique noise characteristics of MBIR using a state-of-the-art clinical CT system. Methods: Three physical phantoms, including a water cylinder and two pediatric head phantoms, were scanned in axial scanning mode using a 64-slice CT scanner (Discovery CT750 HD, GE Healthcare, Waukesha, WI) at seven different mAs levels (5, 12.5, 25, 50, 100, 200, 300). At each mAs level, each phantom was repeatedly scanned 50 times to generate an image ensemble for noise analysis. Both the FBP method with a standard kernel and the MBIR method (Veo{sup ®}, GE Healthcare, Waukesha, WI) were used for CT image reconstruction. Three-dimensional (3D) noise power spectrum (NPS), two-dimensional (2D) NPS, and zero-dimensional NPS (noise variance) were assessed both globally and locally. Noise magnitude, noise spatial correlation, noise spatial uniformity and their dose dependence were examined for the two reconstruction methods. Results: (1) At each dose level and at each frequency, the magnitude of the NPS of MBIR was smaller than that of FBP. (2) While the shape of the NPS of FBP was dose-independent, the shape of the NPS of MBIR was strongly dose-dependent; lower dose lead to a “redder” NPS with a lower mean frequency value. (3) The noise standard deviation (?) of MBIR and dose were found to be related through a power law of ????(dose){sup ??} with the component ? ? 0.25, which violated the classical ????(dose){sup ?0.5} power law in FBP. (4) With MBIR, noise reduction was most prominent for thin image slices. (5) MBIR lead to better noise spatial uniformity when compared with FBP. (6) A composite image generated from two MBIR images acquired at two different dose levels (D1 and D2) demonstrated lower noise than that of an image acquired at a dose level of D1+D2. Conclusions: The noise characteristics of the MBIR method are significantly different from those of the FBP method. The well known tradeoff relationship between CT image noise and radiation dose has been modified by MBIR to establish a more gradual dependence of noise on dose. Additionally, some other CT noise properties that had been well understood based on the linear system theory have also been altered by MBIR. Clinical CT scan protocols that had been optimized based on the classical CT noise properties need to be carefully re-evaluated for systems equipped with MBIR in order to maximize the method's potential clinical benefits in dose reduction and/or in CT image quality improvement.

  2. Model Based Deduction for Database Schema Reasoning Peter Baumgartner1, Ulrich Furbach2, Margret Gross-Hardt2, and Thomas Kleemann2

    E-Print Network [OSTI]

    Baumgartner, Peter

    Model Based Deduction for Database Schema Reasoning Peter Baumgartner1, Ulrich Furbach2, Margret to demonstrate that there is a high potential for model based procedures for database schema reasoning. Model. We aim to demonstrate that automated deduction techniques, in par- ticular those following the model

  3. Concentric tube support assembly

    DOE Patents [OSTI]

    Rubio, Mark F.; Glessner, John C.

    2012-09-04

    An assembly (45) includes a plurality of separate pie-shaped segments (72) forming a disk (70) around a central region (48) for retaining a plurality of tubes (46) in a concentrically spaced apart configuration. Each segment includes a support member (94) radially extending along an upstream face (96) of the segment and a plurality of annularly curved support arms (98) transversely attached to the support member and radially spaced apart from one another away from the central region for receiving respective upstream end portions of the tubes in arc-shaped spaces (100) between the arms. Each segment also includes a radial passageway (102) formed in the support member for receiving a fluid segment portion (106) and a plurality of annular passageways (104) formed in the support arms for receiving respective arm portions (108) of the fluid segment portion from the radial passageway and for conducting the respective arm portions into corresponding annular spaces (47) formed between the tubes retained by the disk.

  4. RSC DECISION THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL AO DECISION

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    RSC DECISION THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL AO DECISION Application for Residence North Carolina law, bona fide legal residents (domiciliaries) of North Carolina are eligible for a lower are available for inspection in admissions offices. North Carolina statute (G.S. 116-143) requires: "To qualify

  5. Decision analysis for mobilizing and retrieving sludge from double-shell tanks

    SciTech Connect (OSTI)

    Brothers, A.J.; Williams, N.C.; Dukelow, J.S.; Hansen, R.I. [and others] [and others

    1997-09-01

    This decision analysis evaluates alternative technologies for the initial mobilization and retrieval of sludges in double-shell tanks (DSTs). The analysis is from the perspective of the need to move sludges from one DST to another for interim retrieval. It supports the more general decision of which technologies to use to retreive various types of DST waste. The initial analysis is from the perspective of a typical DST with 2 ft of sludge to mobilize. During the course of the analysis, it became clear that it was important to also consider sludge mobilization in support of the high-level waste (HLW) vitrification demonstration plant, and in particular the risks associated with failing to meeting the minimum order requirements for the vendor, as well as the cost of mobilization and retrieval from the HLW vitrification source tanks.

  6. Crank shaft support assembly

    DOE Patents [OSTI]

    Natkin, Robert J. (Canton, MI); Oltmans, Bret (Stacy, MN); Allison, John E. (Ann Arbor, MI); Heater, Thomas J. (Milford, MI); Hines, Joy Adair (Plymouth, MI); Tappen, Grant K. (Washington, MI); Peiskammer, Dietmar (Rochester, MI)

    2007-10-23

    A crank shaft support assembly for increasing stiffness and reducing thermal mismatch distortion in a crank shaft bore of an engine comprising different materials. A cylinder block comprises a first material and at least two crank journal inserts are insert-molded into respective crank journal regions of the cylinder block and comprise a second material having greater stiffness and a lower thermal coefficient of expansion that the first material. At least two bearing caps are bolted to the respective crank journal inserts and define, along with the crank journal inserts, at least two crank shaft support rings defining a crank shaft bore coaxially aligned with a crank shaft axis. The bearing caps comprise a material having higher stiffness and a lower thermal coefficient of expansion than the first material and are supported on the respective crank journal inserts independently of any direct connection to the cylinder block.

  7. MODEL BASED BIOMASS SYSTEM DESIGN OF FEEDSTOCK SUPPLY SYSTEMS FOR BIOENERGY PRODUCTION

    SciTech Connect (OSTI)

    David J. Muth, Jr.; Jacob J. Jacobson; Kenneth M. Bryden

    2013-08-01

    Engineering feedstock supply systems that deliver affordable, high-quality biomass remains a challenge for the emerging bioenergy industry. Cellulosic biomass is geographically distributed and has diverse physical and chemical properties. Because of this feedstock supply systems that deliver cellulosic biomass resources to biorefineries require integration of a broad set of engineered unit operations. These unit operations include harvest and collection, storage, preprocessing, and transportation processes. Design decisions for each feedstock supply system unit operation impact the engineering design and performance of the other system elements. These interdependencies are further complicated by spatial and temporal variances such as climate conditions and biomass characteristics. This paper develops an integrated model that couples a SQL-based data management engine and systems dynamics models to design and evaluate biomass feedstock supply systems. The integrated model, called the Biomass Logistics Model (BLM), includes a suite of databases that provide 1) engineering performance data for hundreds of equipment systems, 2) spatially explicit labor cost datasets, and 3) local tax and regulation data. The BLM analytic engine is built in the systems dynamics software package PowersimTM. The BLM is designed to work with thermochemical and biochemical based biofuel conversion platforms and accommodates a range of cellulosic biomass types (i.e., herbaceous residues, short- rotation woody and herbaceous energy crops, woody residues, algae, etc.). The BLM simulates the flow of biomass through the entire supply chain, tracking changes in feedstock characteristics (i.e., moisture content, dry matter, ash content, and dry bulk density) as influenced by the various operations in the supply chain. By accounting for all of the equipment that comes into contact with biomass from the point of harvest to the throat of the conversion facility and the change in characteristics, the BLM evaluates economic performance of the engineered system, as well as determining energy consumption and green house gas performance of the design. This paper presents a BLM case study delivering corn stover to produce cellulosic ethanol. The case study utilizes the BLM to model the performance of several feedstock supply system designs. The case study also explores the impact of temporal variations in climate conditions to test the sensitivity of the engineering designs. Results from the case study show that under certain conditions corn stover can be delivered to the cellulosic ethanol biorefinery for $35/dry ton.

  8. Aerogel-supported filament

    DOE Patents [OSTI]

    Wuest, C.R.; Tillotson, T.M.; Johnson, C.V. III

    1995-05-16

    The present invention is a thin filament embedded in a low density aerogel for use in radiation detection instruments and incandescent lamps. The aerogel provides a supportive matrix that is thermally and electrically nonconductive, mechanically strong, highly porous, gas-permeable, and transparent to ionizing radiation over short distances. A low density, open-cell aerogel is cast around a fine filament or wire, which allows the wire to be positioned with little or no tension and keeps the wire in place in the event of breakage. The aerogel support reduces the stresses on the wire caused by vibrational, gravitational, electrical, and mechanical forces. 6 Figs.

  9. Aerogel-supported filament

    DOE Patents [OSTI]

    Wuest, Craig R. (Danville, CA); Tillotson, Thomas M. (Tracy, CA); Johnson, III, Coleman V. (Dallas, TX)

    1995-01-01

    The present invention is a thin filament embedded in a low density aerogel for use in radiation detection instruments and incandescent lamps. The aerogel provides a supportive matrix that is thermally and electrically nonconductive, mechanically strong, highly porous, gas-permeable, and transparent to ionizing radiation over short distances. A low density, open-cell aerogel is cast around a fine filament or wire, which allows the wire to be positioned with little or no tension and keeps the wire in place in the event of breakage. The aerogel support reduces the stresses on the wire caused by vibrational, gravitational, electrical, and mechanical forces.

  10. Supporting Data-Producing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With Livermore National LabSupplier ToolboxSupport HomelessSupporting

  11. Final Progress Report on Model-Based Diagnosis of Soil Limitations to Forest Productivity

    SciTech Connect (OSTI)

    Luxmoore, R.J.

    2004-08-30

    This project was undertaken in support of the forest industry to link modeling of nutrients and productivity with field research to identify methods for enhancing soil quality and forest productivity and for alleviating soil limitations to sustainable forest productivity. The project consisted of a series of related tasks, including (1) simulation of changes in biomass and soil carbon with nitrogen fertilization, (2) development of spreadsheet modeling tools for soil nutrient availability and tree nutrient requirements, (3) additional modeling studies, and (4) evaluation of factors involved in the establishment and productivity of southern pine plantations in seasonally wet soils. This report also describes the two Web sites that were developed from the research to assist forest managers with nutrient management of Douglas-fir and loblolly pine plantations.

  12. Life-Cycle Assessment of Concrete: Decision-Support Tool and Case Study Application

    E-Print Network [OSTI]

    Gursel, Aysegul Petek

    2014-01-01

    waste from concrete batching involves mixer washout, sludgesof washout, the volume of returned concrete, and the amountwashout, truck wash off, etc. ) for ready-mixed concrete

  13. A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support

    E-Print Network [OSTI]

    Bensi, Michelle Terese

    2010-01-01

    2010). ?California High-Speed Rail Authority Website. ? high speed rail system. To Dan. Thank216 8.3 Example #2 – Proposed California high speed rail

  14. Using Simulation for Decision Support: Lessons Learned from FireGrid 

    E-Print Network [OSTI]

    Wickler, Gerhard; Beckett, George; Han, Liangxiu; Koo, Sung-Han; Potter, Stephen; Pringle, Gavin; Tate, Austin

    This paper describes some of the lessons learned from the FireGrid project. It starts with a brief overview of the project. The discussion of the lessons learned that follows is intended for others attempting to develop a ...

  15. Abstract --This paper describes the development of a sequential decision support system to promote hydroelectric

    E-Print Network [OSTI]

    MacDonald, Mark

    hydroelectric power in North-West England. The system, composed of integrated models, addresses barriers to the installation of hydroelectric power schemes. Information is linked through an economic assessment which of hydro power technology are considered. Index Terms -- Flow duration curve, Hydroelectric power, North

  16. Global vs. local decision support for multiple independent UAV schedule management

    E-Print Network [OSTI]

    Cummings, M.l

    2010-01-01

    As unmanned aerial vehicles (UAVs) become increasingly autonomous, time-critical and complex single-operator systems will require advance prediction and mitigation of schedule conflicts. However, actions that

  17. A Geographical Informa on System-Based Decision Support Tool: GeoFreight

    E-Print Network [OSTI]

    of Energy Airport Operation Statistics map. A series of choices are provided allowing the user to obtainFreight was developed by ORNL with funding provided by the Bureau of Transportation Statistics (BTS), USDOT, under vulnerabilities in the transportation systems. The Port Statistics menu, accessed from the Major Ports map, allows

  18. Potential for Improving Decision Support Catalysed by Semantic Interoperability Between Systems

    E-Print Network [OSTI]

    Datta, Shoumen

    2008-07-31

    Convergence of systems and intelligent automation may augment the ability of supply chain operations or healthcare networks to rapidly adapt to changes or respond, with minimal human intervention, under ideal conditions. ...

  19. Case-Based Support for Forestry Decisions: How to See the Wood from the Trees

    E-Print Network [OSTI]

    Bridge, Derek

    is to estimate what products can be produced from a tree, e.g. size and quality of planks, amount of wood-chip

  20. A Structured Approach to Scenario Generation for the Design of Crew Decision Support Tools

    E-Print Network [OSTI]

    Whitely, I.; Bogatyreva, O.; Johnson, C.W.

    Whitely,I. Bogatyreva,O. Johnson,C.W. Wolff,M. Townend,M. Proceedings of the 3rd International Association for the Advancement of Space Safety (IAASS) Conference, â??Building a safer space together', International Association for the Advancement of Space Safety (IAASS), Rome, Italy

  1. Decision Support Tool for Prioritization of Resources Dedicated to Surveillance and Maintenance Activities

    Broader source: Energy.gov [DOE]

    The Department of Energy (DOE) currently faces a difficult task in the disposition of excess facilities. Many of these facilities are large and complex and contain potentially hazardous substances.

  2. Life-Cycle Assessment of Concrete: Decision-Support Tool and Case Study Application

    E-Print Network [OSTI]

    Gursel, Aysegul Petek

    2014-01-01

    and SO 2 for boiling water reactors, the construction ofcases of 1,000 MW boiling water reactor (BWR) type with an

  3. Life-Cycle Assessment of Concrete: Decision-Support Tool and Case Study Application

    E-Print Network [OSTI]

    Gursel, Aysegul Petek

    2014-01-01

    Example of a Hybrid Life-Cycle Assessment of ConstructionD.W. Pennington, Life cycle assessment: Part 1: Framework,management - Life Cycle Assessment: Principles and

  4. Decision Support for Planning Multi-Modal Urban Travel Dr. Joanna Hartley, Prof. Andre Bargiela

    E-Print Network [OSTI]

    Bargiela, Andrzej

    . Road vehicles and industry are the main sources of pollutant emissions. In the United Kingdom, road. Great Britain has become a role model in the battle against global pollution. The Prime Minister, Tony vehicles are responsible for over 50% of the emissions of nitrogen oxides and over 75% of carbon monoxide

  5. Z .Decision Support Systems 30 2001 279288 www.elsevier.comrlocaterdsw

    E-Print Network [OSTI]

    Oren, Shmuel S.

    a competitive electricity market traditional demand-side management DSM options offering customers curtailable of numerous demand-side Z .management programs DSM aimed at reducing the cost of electricity by taking and financial options in demand-side electricity contracts Shmuel S. Oren) Department of Industrial Engineering

  6. GEOSPATIAL DECISION SUPPORT FOR SEED COMPANIES IN THE CORN BELT Marcus E. Tooze1

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    agroecological regions where Golden Harvest's suite of corn hybrids were bested adapted in the western Corn Belt qualities and root zone water-holding capacities, reducing risks to drought events. A toolkit of ESRI Arc Harvest brand products, outlined a series of issues within their business model to improve acreage

  7. Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems

    E-Print Network [OSTI]

    Cummings, M.L.

    2010-01-01

    In resource allocation problems for systems with moving planning horizons and significant uncertainty, typical of supervisory control environments, it is critical that some balance of human-automation collaboration be ...

  8. Enabling strategic fulfillment : a decision support tool for fulfillment network optimization

    E-Print Network [OSTI]

    Drake, Bryan (Bryan G.)

    2012-01-01

    Dell's Third-Party (3P) Product network uses several different order fulfillment methods, though the determination of which products are fulfilled under which method is not clearly delineated. We have developed a tool to ...

  9. Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network

    E-Print Network [OSTI]

    Allen, Michael

    Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable ...

  10. A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support

    E-Print Network [OSTI]

    Bensi, Michelle Terese

    2010-01-01

    sources such as structural health monitoring sensors, hazarddata received from structural health monitoring sensors,and information from structural health monitoring sensors.

  11. Decision Support System (DSS) for Machine Selection: A Cost Minimization Model 

    E-Print Network [OSTI]

    Mendez Pinero, Mayra I.

    2010-01-16

    Within any manufacturing environment, the selection of the production or assembly machines is part of the day to day responsibilities of management. This is especially true when there are multiple types of machines that can be used to perform each...

  12. The design of an intelligent decision support tool for submarine commanders

    E-Print Network [OSTI]

    Carrigan, Geoffrey P

    2009-01-01

    A recent search of headlines shows a high number of maritime collisions and accidents. The USS Hartford, a nuclear submarine, recently surfaced into an oil tanker just after the running aground of the USS Port Royal in ...

  13. The development and implementation of a cash flow decision support system 

    E-Print Network [OSTI]

    Kilcoyne, Suzanne Jo

    1983-01-01

    Inflation Considerations, Graphic Display . PROJECT ANALYSIS EXAMPLE . CONCLUSIONS REFERENCES SUPPLEMENTAL SOURCES CONSULTED 9 9 16 20 20 22 23 30 31 APPENDIX A-- Users Guide to Project Economic Analysis System, 32 APPENDIX B -- Project... PRINT TAB(15)'1 PROJECT ECONOMIC ANALYSIS SYSTEM 5' 7 PRIN7 TAB!15) "f t' 8 PRINT 748(&5)'ttfttttftfttttttffttfttttttttttttttttttttftfttftttttttt' 9 PRIkT:PRINT:PRINT TAB(20)' NRITTEM BY SUIANNE KILCOYNE 45)O LELAND BL4NK &0 PRINT:PRINT:PRINT TAB(30...

  14. Life-Cycle Assessment of Concrete: Decision-Support Tool and Case Study Application

    E-Print Network [OSTI]

    Gursel, Aysegul Petek

    2014-01-01

    for bituminous and lignite coal types based on IPPC report [40 kWh/tonne depending on the type of coal used in the kiln.burning different types of coal under varying conditions.

  15. A Decision Support System to design1 modified atmosphere packaging for fresh2

    E-Print Network [OSTI]

    Croitoru, Madalina

    ;Abstract18 To design new packaging for fresh food stakeholders of the food19 chain express their needs (i) fresh food related characteristics and (ii) packaging intrinsic charac-22 teristics. Modified materials, process ability,30 waste management constraints, etc. For instance, the user may have31

  16. Economic sustainability modeling provides decision support for assessing hybrid poplar-based biofuel development in California

    E-Print Network [OSTI]

    2015-01-01

    58 p. Parker N, Tittmann P, Hart Q, et al. 2010. Development63:168–77. Prilepova O, Hart Q, Merz J, et al. 2014. DesignNathan C. Parker, Quinn Hart, Mark Jenner, Boon-Ling Yeo,

  17. SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE Timothy M. Magee, Operations Research Analyst, Center for Advanced Decision Support

    E-Print Network [OSTI]

    Ware's capabilities with TVA's daily operations scheduling models which optimize hydropower value while meeting non and operates 29 conventional hydropower plants and one pumped storage hydropower plant in the Tennessee Valley to hydropower generation, the reservoir system provides other beneficial services throughout the Tennessee

  18. Information technology and decision support tools for stakeholder-driven river basin salinity management

    E-Print Network [OSTI]

    Quinn, N.W.T

    2010-01-01

    water and salinity load management within the Hunter Rivermandated for pollutant load management in the US. 5.load regulation in the Hunter River Basin Salinity management

  19. Decision support tool seeks to aid stream-flow recovery and enhance water security

    E-Print Network [OSTI]

    Merenlender, Adina; Deitch, Matthew J; Feirer, Shane

    2008-01-01

    Watershed. SWRCB Division of Water Rights. Sacramento, CA.2007 draft. Division of Water Rights. Sacramento, CA.of streamflow. Vol 1. Water Supply Paper 2175. US Geo-

  20. Use of GIS as a Real Time Decision Support System for Irrigation Districts 

    E-Print Network [OSTI]

    Bonaiti, G.; Fipps, G.

    2012-01-01

    BID CCID2 BID CCID2 Database query Telemetry/SCADA ? On/Off ? ? (1) ? Flow ? ? (1) Water Orders ? Water orders ? ? ? Irrigation Volumes ? ? ? Crops ? ? ? Account Balances Water/Money ? ? Status Maps Telemetry.../SCADA ? Alarms ? ? ? On/Off ? ? ? Flow ? ? Water Orders ? Total Irrigation Volumes ? (1) Interactive Map Telemetry/SCADA ? Alarms ? (1) ? On/Off ? ? ? ? Flow ? ? ? ? Find Name ? ? ? Find Type (pump, gate, etc.) ? ? Water...

  1. A Software Decision Support System 1. Purpose of MKA-2 system

    E-Print Network [OSTI]

    Borissova, Daniela

    be formulated as problems of choice, ranking and sorting of resources, strategies, projects, offers, policies alternatives are as follows: · Italy; · Belgium; · Germany; · Great Britain; · Portugal; · France. The criteria of the produced energy. This criterion has to be maximized. The criterion "Construction costs" reflects the cost

  2. Supporting medical decision in telecardiology: a patient-centered ontology-based approach

    E-Print Network [OSTI]

    Zweigenbaum, Pierre

    , France Abstract and Objective The objective of the AKENATON project is to improve alert management, and is expected to decrease mortality and hospitali- zation rates [1]. In this context, ICDs send many remote-up to perspectives centered on individualized patient care, in order to improve alert management. To achieve

  3. A Decision Support Tool for the Pushback Rate Control of Airport Departures

    E-Print Network [OSTI]

    Sandberg, Melanie J.

    Airport surface congestion control has the potential to mitigate the increase in taxi times and fuel burn at major airports. One possible class of congestion control strategies predicts the departure throughput, and ...

  4. The role of transfer-appropriate processing in the effectiveness of decision-support graphics 

    E-Print Network [OSTI]

    Stiso, Michael E.

    2004-11-15

    of Training .......................................................................58 Table 9 Means and Standard Deviations for NumExits, PlnCon, and NavCon by Type of Testing...........................................................................62... and Score6 ................................91 Table 17 Means and Standard Deviations for PlnCon5 and PlnCon6 ..........................91 Table 18 Means and Standard Deviations for NumExits5 and NumExits6..................92 Table 19 Means...

  5. Life-Cycle Assessment of Concrete: Decision-Support Tool and Case Study Application

    E-Print Network [OSTI]

    Gursel, Aysegul Petek

    2014-01-01

    from the generation of wind and hydro power, Renewable andand three cases of hydro power LCAs are analyzed: 1) 8from the run-of-river hydro power. Such LCAs show the

  6. Risk Assessment supporting the decision on the initial selection of supplemental ILAW technologies

    SciTech Connect (OSTI)

    MANN, F. M.

    2003-09-29

    A risk assessment on the long-term environmental impact of various potential waste forms was conducted at the request of the Hanford Site's Mission Acceleration Initiative Team. These potential waste forms (bulk vitrification, cast stone, and steam reformer) may treat some of the low-activity waste currently planned to be treated at the Waste Treatment Plant.

  7. The design of a decision support system for supply chain risk management

    E-Print Network [OSTI]

    Deshmukh, Vinay (Vinay D.)

    2007-01-01

    Where can things go wrong? This deceptively simple question has fascinated mankind since time immemorial. The question in fact forms the basis of risk management. The focus of this thesis is the risk management of supply ...

  8. Agent-Based Distributed Decision Support System for Brain Tumour Diagnosis and Prognosis

    E-Print Network [OSTI]

    Universiteit Leuven, Departement Elektrotechniek, Belgium f University of Southampton, School of Electronics-based architecture in order to negotiate a distributed diagnostic tool for brain tumours, implement data mining

  9. THE PLANTING DATE CALCULATOR: A DECISION-SUPPORT TOOL FOR AGRICULTURE

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    of Nebraska ­ Lincoln, Computer Science and Engineering Department. The software assists farmers and crop. Dappen7 1 Computer Science and Engineering Department, University of Nebraska ­ Lincoln 2 Mixed Signal, University of Nebraska ­ Lincoln 4 School of Natural Resource Sciences, University of Nebraska ­ Lincoln 5

  10. How can we improve information delivery to support conservation and restoration decisions?

    E-Print Network [OSTI]

    Seavy, Nathaniel E.; Howell, Christine A.

    2010-01-01

    many less formal sources of information, such as personalonly asked about formal sources of information and did not

  11. StarVis : a configural decision support tool for schedule management of multiple unmanned aerial vehicles

    E-Print Network [OSTI]

    Brzezinski, Amy S

    2008-01-01

    As unmanned aerial vehicles (UAVs) become increasingly autonomous, current single-UAV operations involving multiple personnel could transition to a single operator simultaneously supervising multiple UAVs in high-level ...

  12. Automating functions in multi-agent control systems: supporting the decision process

    E-Print Network [OSTI]

    Harrison, Michael

    , YO10 5DD. UK {mdh,pcw}@cs.york.ac.uk Abstract A challenge for designers of safety critical systems with roles that are designed for the people involved. Any automation should satisfy general criteria with the design of safety critical systems. A number of methods of allocation of function have been developed

  13. Fact Sheet: ES-Select - A Decision Support Tool (October 2012) | Department

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRD Report to Congress MoreHyd rog enOffice| DepartmentDepartmentof

  14. Microsoft Word - Improved Interfaces and Decision Support_FINAL_v2.0.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGE OF PAGESpersonal CERTIFIED MAIL43 PART56ORIENTATIONB5: A

  15. Climate Rapid Overview and Decision Support (C-ROADS) Simulator | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,Coal Technologies Place:StandardsFinance OptionsInvestmentEnergy

  16. Fact Sheet: ES-Select - A Decision Support Tool (October 2012)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14, 20111,FY 2007TrafficDepartmentinofDNV KEMA The best

  17. Utilization of Science-Based Information on Climate Change in Decision Making and the Public Policy Process - Phase 1 

    E-Print Network [OSTI]

    Vedlitz, Arnold; Alston, Letitia T.; Wood, B. Dan; North, Gerald R.; Lindquist, Eric

    2008-01-01

    Utilization of Science-Based Information on Climate Change in Decision Making and the Public Policy Process - Phase I Institute for Science, Technology and Public Policy The Bush School of Government and Public Service Texas A&M University Institute... for Science, Technology and Public Policy ? The Bush School ? Texas A&M University 1 Acknowledgements Research Support...

  18. Use of Science in Gulf of Mexico Decision Making Involving Climate Change 

    E-Print Network [OSTI]

    Vedlitz, Arnold; Alston, Letitia T.; Laska, Shirley B.; Gramling, Robert B.; Harwell, Mark A.; Worthen, Helen D.

    2007-01-01

    Decision Making Involving Climate Change EPA COOPERATIVE AGREEMENT: R?83023601?0 September 2002 ? December 2007 Dr. ArnolD VeDlitz, Director & BoB Bullock chAir in GoVernment AnD PuBlic Policy institute for science, technoloGy AnD PuBlic Policy... Policy ? The Bush School ? Texas A&M University i Acknowledgements Research Support This material is based upon research supported by the U.S. Environmental Protection Agency's National Center for Environmental Assessment/Global Change Research...

  19. Decision Models for Bulk Energy Transportation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Decision Models for Bulk Energy Transportation Networks James D. McCalley August 23, 2005 #12, and Electric Transportation Systems (1) What energy flow patterns would yield significantly improved energy (ISU - Randy Larabee) · City of Ames (Ames - Merlin Hove) · MidAmerican Energy (Des Moines - Alan O

  20. Decision-making in autism spectrum conditions

    E-Print Network [OSTI]

    Luke, Lydia R.

    2011-02-08

    at the critical point [and] she was not capable of making a decision’ (Re MB, p427). Similarly, cognitively able patients with anorexia nervosa may lack the capacity to consent to feeding treatment due to their intense fear of weight gain and...

  1. Consciousness, Decision-Making and Neural Computation

    E-Print Network [OSTI]

    Rolls, Edmund T.

    , and an implicit, unconscious route for well-learned actions to obtain goals. Then a higher order syntactic thought the planning, HOST system and not feel like something. Neurally plausible models of decision-Action Cycle: Models, Architectures, and Hardware, Springer Series in Cognitive and Neural Systems 1, DOI 10

  2. The cognitive dynamics underlying decision-making

    E-Print Network [OSTI]

    Jeong, Jaeseung

    )Temporal dynamics 2)Sequential dynamics #12;How does the brain make effective real-world decisions dependent A B C D 0 25 50 75 100 Choicepercentage(%) Options A B C D 0 25 50 75 100 Choicepercentage(%) Options A B C D 0 25 50 75 100 Choicepercentage(%) Options B-Index 0

  3. ATTACHMENT 1 Export Control Decision Tree 1

    E-Print Network [OSTI]

    Jiang, Jiancheng

    ATTACHMENT 1 Export Control Decision Tree 1 for Travel or Shipping to Foreign Countries or Sharing Information with Foreign Nationals United States export controls exist to protect the national security and foreign policy interests of this country. Export controls govern the shipment, transmission, or transfer

  4. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    natural gas pipeline capacity from gulf to NE? Production: How would major investment in a specific/trading restrictions? What would be impacts on fuel and electricity markets? How do high natural gas prices drive1 Decision Models for Bulk Energy Transportation Networks Electrical Engineering Professor Jim Mc

  5. Combinatorische Algoritmen: Binary Decision Diagrams, Deel III

    E-Print Network [OSTI]

    Kosters, Walter

    Decision Diagram (BDD) en hebben we Algoritme C gezien die ons snel het aantal oplossingen van f(x) = 1 door Algoritme B dat oplossingen met een maximaal gewicht kan genereren. In dit deel zullen we uitwerkingen bekijken van Algoritme B (Hoofdstuk 2) en passen we daarna Algoritme C aan om de genererende

  6. Integrated Sensing and Controls for Coal Gasification - Development of Model-Based Controls for GE's Gasifier and Syngas Cooler

    SciTech Connect (OSTI)

    Aditya Kumar

    2010-12-30

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a comprehensive systems approach to integrated design of sensing and control systems for an Integrated Gasification Combined Cycle (IGCC) plant, using advanced model-based techniques. In particular, this program is focused on the model-based sensing and control system design for the core gasification section of an IGCC plant. The overall approach consists of (i) developing a first-principles physics-based dynamic model of the gasification section, (ii) performing model-reduction where needed to derive low-order models suitable for controls analysis and design, (iii) developing a sensing system solution combining online sensors with model-based estimation for important process variables not measured directly, and (iv) optimizing the steady-state and transient operation of the plant for normal operation as well as for startup using model predictive controls (MPC). Initially, available process unit models were implemented in a common platform using Matlab/Simulink{reg_sign}, and appropriate model reduction and model updates were performed to obtain the overall gasification section dynamic model. Also, a set of sensor packages were developed through extensive lab testing and implemented in the Tampa Electric Company IGCC plant at Polk power station in 2009, to measure temperature and strain in the radiant syngas cooler (RSC). Plant operation data was also used to validate the overall gasification section model. The overall dynamic model was then used to develop a sensing solution including a set of online sensors coupled with model-based estimation using nonlinear extended Kalman filter (EKF). Its performance in terms of estimating key unmeasured variables like gasifier temperature, carbon conversion, etc., was studied through extensive simulations in the presence sensing errors (noise and bias) and modeling errors (e.g. unknown gasifier kinetics, RSC fouling). In parallel, an MPC solution was initially developed using ideal sensing to optimize the plant operation during startup pre-heating as well as steady state and transient operation under normal high-pressure conditions, e.g. part-load, base-load, load transition and fuel changes. The MPC simulation studies showed significant improvements both for startup pre-heating and for normal operation. Finally, the EKF and MPC solutions were coupled to achieve the integrated sensing and control solution and its performance was studied through extensive steady state and transient simulations in the presence of sensor and modeling errors. The results of each task in the program and overall conclusions are summarized in this final report.

  7. University Dining Decisions: Do College Students Make Rational Decisions in the Market for Meal Plans 

    E-Print Network [OSTI]

    Struble, Matthew

    2013-02-04

    When students come to college they take on many responsibilities their parents used to cover for them, including making significant purchase decisions. My research examines the dining plan purchases of students at Texas A&M over time to determine...

  8. Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models 

    E-Print Network [OSTI]

    Vedlitz, Arnold; Mintz, Alex; Redd, Steven B.; Liu, Xinsheng; Alston, Letitia T.

    2005-01-01

    for Science, Technology and Public Policy, George Bush School of Government and Public Service Texas A&M University INTRODUCTION Senior Department of Defense leaders make numerous decisions about the appropriate utilization of complex scientific...-0084 Institute for Science, Technology and Public Policy, George Bush School of Government and Public Service Texas A&M University The poliheuristic theory thus embodies fundamental elements of two disciplines concerned with decision making...

  9. Identifying teacher expertise: An examination of researchers' decision-making 

    E-Print Network [OSTI]

    Stough, Laura

    2005-01-01

    This dissertation is focused on investigating the integration of inventory and facility location decisions in different supply chain settings. Facility location and inventory decisions are interdependent due to the economies ...

  10. Computer-aided decision making for Medical Device Reporting 

    E-Print Network [OSTI]

    Chen, Jih-Horn

    1987-01-01

    , and answer the questions'- "What to do, How, and When?" MDRSOFT, a computer-aided decision making aid for medical de ricr reporting, attempts to capture dynamic problem- solving knowledge through modeling man processed decision making in the domain...

  11. Information Environment and the Investment Decisions of Multinational Corporations

    E-Print Network [OSTI]

    Shroff, Nemit

    This paper examines how the external information environment in which foreign subsidiaries operate affects the investment decisions of multinational corporations (MNCs). We hypothesize and find that the investment decisions ...

  12. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01

    This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

  13. A decision making framework for cruise ship design

    E-Print Network [OSTI]

    Katsoufis, George P. (George Paraskevas)

    2006-01-01

    This thesis develops a new decision making framework for initial cruise ship design. Through review of effectiveness analysis and multi-criteria decision making, a uniform philosophy is created to articulate a framework ...

  14. How the Koontz Decision May Affect Climate Change Policy

    Office of Energy Efficiency and Renewable Energy (EERE)

    Please join us for a Sept. 10 webinar to discuss the Supreme Court's controversial decision in Koontz v. St. Johns River Water Management District and explore how the decision may affect the...

  15. Informing design decisions : an approach to corporate building design

    E-Print Network [OSTI]

    Maxwell, Marc A

    1985-01-01

    This thesis is an investigation into design methodologies. How do we, as designers, prepare ourselves for decision making and evaluate our assumptions and decisions? The intent is to employ this information as a basis for ...

  16. Including model uncertainty in risk-informed decision-making

    E-Print Network [OSTI]

    Reinert, Joshua M

    2005-01-01

    Model uncertainties can have a significant impact on decisions regarding licensing basis changes. We present a methodology to identify basic events in the risk assessment that have the potential to change the decision and ...

  17. Essays on modeling and measurement of consumers' decision strategies

    E-Print Network [OSTI]

    Dzyabura, Daria

    2012-01-01

    This thesis consists of three related essays which explore new approaches to modeling and measurement of consumer decision strategies. The focus is on decision strategies that deviate from von Neumann-Morgenstern utility ...

  18. Applying Model-based Diagnosis to a Rapid Propellant Loading System Charlie Goodrich*. Sriram Narasimhan**, Matthew Daigle**, Walter Hatfield*, Robert Johnson*, Barbara Brown***

    E-Print Network [OSTI]

    Daigle, Matthew

    Applying Model-based Diagnosis to a Rapid Propellant Loading System Charlie Goodrich*. Sriram.h.hatfield@nasa.gov,robert.g.johnson@nasa.gov), **University of California Santa Cruz USA (e-mail:sriram.narasimhan-1@nasa.gov, matthew

  19. Appendix G Supporting Documentation

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the WeldonB10081278MaywoodWayneSupporting Documentation

  20. Characterization of a commercial hybrid iterative and model-based reconstruction algorithm in radiation oncology

    SciTech Connect (OSTI)

    Price, Ryan G.; Vance, Sean; Cattaneo, Richard; Elshaikh, Mohamed A.; Chetty, Indrin J.; Glide-Hurst, Carri K.; Schultz, Lonni

    2014-08-15

    Purpose: Iterative reconstruction (IR) reduces noise, thereby allowing dose reduction in computed tomography (CT) while maintaining comparable image quality to filtered back-projection (FBP). This study sought to characterize image quality metrics, delineation, dosimetric assessment, and other aspects necessary to integrate IR into treatment planning. Methods: CT images (Brilliance Big Bore v3.6, Philips Healthcare) were acquired of several phantoms using 120 kVp and 25–800 mAs. IR was applied at levels corresponding to noise reduction of 0.89–0.55 with respect to FBP. Noise power spectrum (NPS) analysis was used to characterize noise magnitude and texture. CT to electron density (CT-ED) curves were generated over all IR levels. Uniformity as well as spatial and low contrast resolution were quantified using a CATPHAN phantom. Task specific modulation transfer functions (MTF{sub task}) were developed to characterize spatial frequency across objects of varied contrast. A prospective dose reduction study was conducted for 14 patients undergoing interfraction CT scans for high-dose rate brachytherapy. Three physicians performed image quality assessment using a six-point grading scale between the normal-dose FBP (reference), low-dose FBP, and low-dose IR scans for the following metrics: image noise, detectability of the vaginal cuff/bladder interface, spatial resolution, texture, segmentation confidence, and overall image quality. Contouring differences between FBP and IR were quantified for the bladder and rectum via overlap indices (OI) and Dice similarity coefficients (DSC). Line profile and region of interest analyses quantified noise and boundary changes. For two subjects, the impact of IR on external beam dose calculation was assessed via gamma analysis and changes in digitally reconstructed radiographs (DRRs) were quantified. Results: NPS showed large reduction in noise magnitude (50%), and a slight spatial frequency shift (?0.1 mm{sup ?1}) with application of IR at L6. No appreciable changes were observed for CT-ED curves between FBP and IR levels [maximum difference ?13 HU for bone (?1% difference)]. For uniformity, differences were ?1 HU between FBP and IR. Spatial resolution was well conserved; the largest MTF{sub task} decrease between FBP and IR levels was 0.08 A.U. No notable changes in low-contrast detectability were observed and CNR increased substantially with IR. For the patient study, qualitative image grading showed low-dose IR was equivalent to or slightly worse than normal dose FBP, and is superior to low-dose FBP (p < 0.001 for noise), although these did not translate to differences in CT number, contouring ability, or dose calculation. The largest CT number discrepancy from FBP occurred at a bone/tissue interface using the most aggressive IR level [?1.2 ± 4.9 HU (range: ?17.6–12.5 HU)]. No clinically significant contour differences were found between IR and FBP, with OIs and DSCs ranging from 0.85 to 0.95. Negligible changes in dose calculation were observed. DRRs preserved anatomical detail with <2% difference in intensity from FBP combined with aggressive IRL6. Conclusions: These results support integrating IR into treatment planning. While slight degradation in edges and shift in texture were observed in phantom, patient results show qualitative image grading, contouring ability, and dosimetric parameters were not adversely affected.